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Professor (Teaching & Research)

Full Time Equivalent (FTE)

Queen Mary is recruiting 10 full Professors to establish their research groups at the University. These permanent academic positions will further strengthen our rapidly expanding, world leading research following an excellent performance in the latest UK Research Excellence Framework (REF 2021) in which Queen Mary was ranked 7th in the UK.

Queen Mary provides an outstanding environment for collaborative research, linking with colleagues across all three faculties and supported by partnerships with industry, NHS and other stakeholders.

We are looking for highest quality professorial candidates who will establish successful groups delivering highest quality research outputs, impact and training. Candidates will be supported with competitive start-up packages and the possibility to bring with them additional academic staff.

We welcome applications from outstanding candidates in any area of science and engineering with a particular focus on those whose research will integrate with our newly formed Faculty Research Centres (see below) .

• Centre for Biodiversity and Sustainability
• Centre for Evolutionary and Functional Genomics
• Centre for Molecular Cell Biology
• Centre for Brain and Behaviour
• Centre for Fundamental Computer Science
• Centre for Electronics
• Centre for Networks, Communications and Systems
• Centre for Human-Centred Computing
• Centre for Multimodal learning and AI
• Centre for Intelligent Transport
• Centre for Sustainable Engineering
• Centre for Bioengineering
• Centre for Chemical Research
• Centre for Fundamental Physics
• Centre for Experimental and Applied Physics
• Centre for Geometry, Analysis and Gravitation
• Centre for Complex Systems
• Centre for Probability, Statistics and Data Science
• Centre for Combinatorics, Alegra, and Number theory

How to apply

Candidates should complete the online application form with an accompanying CV and provide an outline of your research vision and funding strategy to build your research group at Queen Mary.

To apply, please click the ‘apply’ button below.

The closing date for initial applications is 12th November 2023.

Posts will be based in one of the five schools within the Faculty of Science and Engineering:

• School of Biological and Behavioural Sciences ,
• School of Electronic Engineering and Computer Science ,
• School of Engineering and Materials Science ,
• School of Mathematical Sciences
• School of Physical and Chemical Sciences

Find out more about Queen Mary University of London, the Faculty of Science and Engineering and our research themes: https://www.qmul.ac.uk/strategic-hires-se/

Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. We particularly welcome applications from individuals who identify as Black, candidates with a disability, and from women in all stages of life, including pregnancy and maternity leave, as these groups are currently under-represented in these academic fields at Queen Mary. While the roles are full time, we positively welcome applications from those who wish to work part time. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. Job share requests for this post will be considered, so please state this clearly on your application if appropriate. We are also open to considering applications from candidates wishing to work flexibly.

If you have any questions, please email [email protected]

12/11/2023, 23:55 

This opportunity is closed to applications.

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Postdoctoral Research Assistant

About the Role

A Postdoctoral Research Assistant position is available at Queen Mary University of London (QMUL) to work with Dr Nikola Ojkic. The position is funded by a BBSRC project entitled ‘Alteration in bacterial cell envelope structure as the mechanism of antibiotic resistance and cell death’, with a proposed starting date of 1st September 2024.

Antibiotic resistance is a major threat to human health, requiring a better understanding of how antibiotics kill bacterial cells on a single-cell level and how antibiotic-resistant bacteria emerge. This project aims to use imaging, image analysis, mathematical modelling, and stochastic molecular dynamics simulations to investigate the physical mechanism of how antibiotic treatments ultimately lead to bacterial cell death.

The post-holder will join a multidisciplinary, diverse, inclusive team with frequent meetings, interactions, and high-quality mentoring. The post-holder will present data and findings at national and international conferences and scientific meetings. The post-holder will have an opportunity to develop their ideas through various collaborations with different research groups.

The ideal candidate for this position will have a PhD in physics/biophysics/mathematics/bioengineering /bioinformatics/computational science or similar field, including significant experience in programming. In particular, past experience in handling large datasets, stochastic simulations, image analysis, and mathematical modelling will be highly desirable. We are also looking for a motivated individual who has the ability to work independently and as part of a team willing to learn new experimental and computational techniques. Candidates should ideally have a track record of publications, excellent communication skills, and the ability to manage and prioritise their time effectively. We will provide a supportive, encouraging environment, training where needed, and a clear career development plan.

About the School and Department

The School of Biological & Behavioural Sciences is one of the largest Schools within Queen Mary University of London and is committed to excellence in research and teaching. The Department offers a lively, stimulating environment for both staff and students, well integrated in the School.  

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Winter mortality and cold stress in Yekaterinburg, Russia: interview survey

Affiliation.

• 1 Department of Physiology, Basic Medical Sciences, Queen Mary and Westfield College, University of London.
• PMID: 9501713
• PMCID: PMC2665668
• DOI: 10.1136/bmj.316.7130.514

Objectives: To evaluate how mortality and protective measures against exposure to cold change as temperatures fall between October and March in a region of Russia with a mean winter temperature below -6 degrees C.

Design: Interview to assess factors associated with cold stress both indoors and outdoors, to measure temperatures in living room, and to survey unheated rooms.

Setting: Sverdlovsk Oblast (district), Yekaterinburg, Russia.

Subjects: Residents aged 50-59 and 65-74 living within approximately 140 km of Yekaterinburg in Sverdlovsk Oblast. Survey of sample of 1000 residents equally distributed by sex and age groups.

Main outcome measures: Regression analysis was used to relate data on indoor heating and temperatures, the amount of clothing worn, the amount of physical activity, and shivering while outside, to outdoor temperature; results were compared with mortality patterns for ischaemic heart disease, cerebrovascular disease, respiratory disease, and mortality from all causes.

Results: As mean daily temperatures fell to 0 degree C the amount of clothing worn outdoors increased, physical activity while outdoors became more continuous, and only 11 (6.6%) of the 167 people surveyed who went outdoors at temperatures above 0 degree C reported shivering. The mean temperature in living rooms in the evening remained above 21.9 degrees C. Mortality from ischaemic heart disease, cerebrovascular disease, respiratory disease, and all causes did not change. As the temperature fell below 0 degree C the number of items of clothing worn plateaued at 16.0 and the number of layers at 3.7. With regression analysis, shivering outdoors was found to increase progressively to 34.6% (P < 0.001) of excursions at -25 degrees C, and mortality (after declining slightly) rose progressively (all cause mortality rose by 1.15% for each 1 degree C drop in temperature from 0 degree C to -29.6 degrees C, 95% confidence interval 0.97% to 1.32%). 94.2% of bedrooms were directly heated, and evening temperatures in the living room averaged 19.8 degrees C even when outside temperatures reached -25 degrees C.

Conclusions: Outdoor cold stress and mortality in Yekaterinburg increased only when the mean daily temperature dropped below 0 degree C. At temperatures down to 0 degree C cold stress and excess mortality were prevented by increasing the number of items of clothing worn and the amount of physical activity outdoors in combination with maintaining warmth in houses.

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Winter mortality and cold stress in Yekaterinburg, Russia: Interview survey

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Winter mortality and cold stress in Yekaterinburg, Russia: interview survey

• Related content
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• G C Donaldson , senior research associate a ,
• V E Tchernjavskii , deputy director, public health institute b ,
• S P Ermakov , principal researcher b ,
• K Bucher , head c ,
• W R Keatinge , emeritus professor of physiology ( w.r.keatinge{at}qmw.ac.uk ) a
• a Department of Physiology, Basic Medical Sciences, Queen Mary and Westfield College, University of London, London E1 4NS
• b Russian Ministry of Health, 11 Dobrolubova Street, Moscow 127254, Russia
• c Dezemat Biosynoptik der Zentralen Medizin-Meteorologischen Forschungsstelle des Deutschen Wetterdienstes, Stefan Maier Strasse 4, 7800 Freiburg 1, Germany
• Correspondence to: Professor Keatinge
• Accepted 31 October 1997

Objectives: To evaluate how mortality and protective measures against exposure to cold change as temperatures fall between October and March in a region of Russia with a mean winter temperature below −6 °C.

Design: Interview to assess factors associated with cold stress both indoors and outdoors, to measure temperatures in living room, and to survey unheated rooms.

Setting: Sverdlovsk Oblast (district), Yekaterinburg, Russia.

Subjects: Residents aged 50–59 and 65–74 living within approximately 140 km of Yekaterinburg in Sverdlovsk Oblast. Survey of sample of 1000 residents equally distributed by sex and age groups.

Main outcome measures: Regression analysis was used to relate data on indoor heating and temperatures, the amount of clothing worn, the amount of physical activity, and shivering while outside, to outdoor temperature; results were compared with mortality patterns for ischaemic heart disease, cerebrovascular disease, respiratory disease, and mortality from all causes.

Results: As mean daily temperatures fell to 0°C the amount of clothing worn outdoors increased, physical activity while outdoors became more continuous, and only 11 (6.6%) of the 167 people surveyed who went outdoors at temperatures above 0°C reported shivering. The mean temperature in living rooms in the evening remained above 21.9°C. Mortality from ischaemic heart disease, cerebrovascular disease, respiratory disease, and all causes did not change. As the temperature fell below 0°C the number of items of clothing worn plateaued at 16.0 and the number of layers at 3.7. With regression analysis, shivering outdoors was found to increase progressively to 34.6% (P<0.001) of excursions at −25°C, and mortality (after declining slightly) rose progressively (all cause mortality rose by 1.15% for each 1°C drop in temperature from 0°C to −29.6°C, 95% confidence interval 0.97% to 1.32%). 94.2% of bedrooms were directly heated, and evening temperatures in the living room averaged 19.8°C even when outside temperatures reached −25°C.

Conclusions: Outdoor cold stress and mortality in Yekaterinburg increased only when the mean daily temperature dropped below 0°C. At temperatures down to 0°C cold stress and excess mortality were prevented by increasing the number of items of clothing worn and the amount of physical activity outdoors in combination with maintaining warmth in houses.

Key messages

There was no increase in mortality in the population of an industrialised region of western Siberia as the temperature fell to 0°C; in western Europe the same fall in temperature is associated with large increases in mortality

Warm clothing and physical activity prevented cold stress outdoors and warm housing prevented cold stress indoors

These results suggest that the high excess winter mortality in western Europe could be prevented by people wearing sufficient clothing and engaging in physical activity outdoors, and by adequately heating houses

Introduction

In cold and temperate regions mortality is minimal at about 18°C but rises as temperatures fall. 1 2 3 Much of the increase in mortality seems to be associated with cold stress (personal exposure to cold); time series analyses have shown that mortality increases within 24 hours of a fall in temperature. 4 Deaths from thrombosis, which account for most of the excess mortality associated with cold, are probably caused by haemoconcentration resulting from cold stress (general exposure to cold) 5 6 and an increase in plasma fibrinogen concentrations as a result of an acute response to respiratory infections. 7 8 The increase in mortality that occurs with each fall of 1°C in outdoor temperature is smaller in areas of Europe where houses are warmer and more clothing is worn outdoors at a given outdoor temperature. 9 However, it is unclear whether protection against cooling of the body surface alone can entirely prevent higher mortality in winter. This protection would not be effective if, for example, local cooling of the respiratory tract caused by breathing cold air was an important factor in the deaths.

This paper reports patterns of winter mortality and various strategies for protection against cold in the Yekaterinburg region of Russia, 850 miles east and slightly north of Moscow. It is a densely populated region, where many people spend substantial time outdoors. The mean winter temperature is −6.8°C, lower than that in any part of western Europe (fig 1 ). Our objective was to evaluate whether the type and amount of outdoor clothing worn and the amount of physical activity prevented excess mortality when winter temperatures were similar to those found in western European regions with milder winters.

Subjects and methods

Subjects and survey of lifestyle.

Subjects were selected for interview by a two stage process. 11 Primary sampling areas were designated from census data and selected to be representative of population density and composition of social groups. Each interviewer was allocated a sampling area each day. To prevent clustering, interviews were separated by at least four addresses and no more than two interviews were conducted on each street; apartment blocks were considered to be streets. Samples of responses were checked by telephone or by post for quality control. These procedures were similar to those used in the Eurowinter survey in western Europe. 9 The survey was conducted by a Russian-Finnish company associated with Gallup and with advice from Colin McDonald (McDonald Research, Camberley). Briefing of interviewers and the initial interviews in Yekaterinburg were monitored by WRK and by the survey consultant.

Interviews were conducted from the beginning of October 1995 through to the end of February 1996. Interviews occurred on all days of the week. Interviews took place after 1700 in the main living room of the house or apartment. Temperatures were measured to 1°C with Thermax temperature strips (Thermographic Measurements, Burton) which were placed on furniture 0.5 m to 1.2 m above the floor. Interviewers then completed questionnaires. Interviewees were asked about the duration of heating in the bedroom and living room, the duration and number of outdoor excursions, the type of clothing worn outdoors, and physical activity outdoors during the previous 24 hours; interviews were conducted in Russian.

Mortality and temperature

Daily reports of deaths during 1990–4 were obtained for Yekaterinburg and the regions and towns of the Sverdlovsk Oblast (district) which are within about 140 km of Yekaterinburg; the data were reported for those aged 50–59 and 65–74 and for men and women. Census data were used to determine numbers of each sex and age group. There were 192 000 men and 258 000 women aged 50–59 and 77 000 men and 167 000 women aged 65-74. The mean daily temperature was calculated using measurements taken every three hours in Yekaterinburg.

Regression analysis

Regression coefficients for the number of deaths each day in relation to the mean daily temperature were estimated for temperatures between 0°C and 18°C and for temperatures between 0°C and −25°C; generalised linear modelling with identity link function was used and a Poisson distribution was assumed. 10 Regression coefficients were expressed as a percentage of the estimated mortality at baseline, which was taken as 18°C. Deaths were lagged on temperature by 2 days for ischaemic heart disease, by 5 days for cerebrovascular disease, by 12 days for respiratory disease, by 3 days for all cause mortality; these are the delays which give maximal effects. 4 Deaths from influenza averaged over the 10 days before to the 10 days after each mortality were included in the regression model as a second explanatory variable to account for the effects of influenza; these effects were small as only nine deaths from influenza were recorded. For graphs, mortality data per million population were averaged for each temperature interval of 1°C.

Separate regressions on the mean daily temperatures both above and below 0°C were made by ordinary least squares regression for the temperature in the living room. Generalised linear modelling was used for Poisson distributed data, and logit regression was used for binary data. 10

The number of layers of clothing worn was calculated as the total area of all items of clothing and expressed as a fraction of body surface area; this was calculated from the list of garments worn and from the surface area of specific parts of the body of men and women. 12 There was no theoretical case for using a particular model to analyse the number of pieces of clothing worn and the total area covered by the clothing. Since both seemed to fall in a linear fashion as the mean daily temperature fell to 0°C, then fell more slowly and plateaued below −8°C these factors were tested by separate linear regressions for temperatures below −8°C, for temperatures from −8°C to 0°C, and for temperatures above 0°C. The Student's t test was used to compare mortality at temperatures from 0°C to −5°C with mortality from 0°C to 5°C. Values are given as means with 95% confidence intervals except when otherwise stated.

A total of 1000 people in the region were interviewed; respondents were equally divided between men and women and between the ages of 50–59 and 65-74.

Mean daily temperatures from 1990 to 1994 inclusive varied from 26.5°C to −29.6°C during the time that the mortality data were collected. Temperatures varied between 12.5°C and −25°C during the survey. The mean winter temperature (between October and March 1990 to 1994 inclusive) was −6.8°C; this was 4°C colder than the coldest region surveyed in western Europe in the Eurowinter survey (−2.8°C in northern Finland). 9

Mortality from all causes did not change as the mean daily temperature fell to 0°C. At slightly below 0°C, however, mortality fell by 6.1% (P=0.011) as it does in Britain. 4 This may be due to the bactericidal effects of freezing. None the less, mortality then increased progressively by 1.15% (0.97% to 1.32%) for each drop in temperature by 1°C as temperatures fell from 0°C to −29.6°C (P<0.001). There was no increase in mortality related to increases in temperatures above 18°C. 1 9 These patterns were similar for men and women and for those aged 50 to 59 and 65 to 74 (fig 2 ). The relations in each temperature range were broadly linear (fig 2 ). Absolute mortality in men was more than double that in women; absolute mortality among those aged 65 to 74 was more than double that among those aged 50 to 59.

Daily numbers of deaths per million population in each sex and age group by mean daily temperature

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The relation between mortality and temperature was not different for ischaemic heart disease, cerebrovascular disease, respiratory disease, or death from all causes (fig 3 ). Information on the specific cause of death was extracted from the mortality data; there were an average of 11.5 deaths related to ischaemic heart disease each day, 9.4 related to cerebrovascular disease, 2.7 related to respiratory disease, and a total of 46.6 for all causes of death. When the data were plotted for each year there was no systematic change in the relation of mortality to temperature with time although absolute mortality rose with time.

Behaviour outdoors

Most people reported going outside every day for at least 10 minutes (83% to 87% of the 1000 people surveyed). The total time spent outside each day averaged 39 minutes (37 to 41 minutes); neither the amount of time spent outside nor the percentage of people who had gone outside in the last 24 hours was significantly related to the mean daily temperature when temperatures were either above or below 0°C. Many people travelled to work by bus or train, waited outdoors for transport, and walked to transport (WRK, personal observation).

As temperatures outdoors fell to 0°C the people who went outdoors seldom shivered; only 11 of the 167 people who were surveyed (6.6%; 2.6% to 9.6%) reported shivering while out that day, and the percentage of those who did shiver did not change with the temperature (fig 4 ). A probable explanation for this is that when people went outdoors they reported wearing progressively more clothing as the temperature fell to 0°C and they also reported spending less time stationary (P<0.001). When linear regression was used for temperatures below 0°C, the percentage of those who shivered while outside increased to 34.6% at −25.0°C (P<0.001), while the number of items of clothing increased little and stabilised at 16 items when temperatures fell below −8°C (fig 4 ). In temperatures below 0°C the number of people who kept still while outside (mean 26%; 22% to 29%) changed little; there was no significant decline as temperatures fell from 0°C to −25°C. Through the whole range of temperatures the wearing of hats and gloves followed similar patterns to the total number of items of clothing worn (fig 4 ). Estimates of the total area of clothing (fig 4 ) were too scattered to reach significance but suggested a rise in the area covered as temperatures fell to 0°C and a plateau at temperatures below −8°C at 3.67 layers or 367% (360% to 374%) of body surface area (fig 4 ). Conversations in Yekaterinburg by WRK suggested that all available outdoor clothing was then being worn.

Indoor temperatures

The mean temperature in the living room in the evening measured during interviews was high throughout the entire range of outdoor temperatures studied. It declined only a little from 23.1°C (21.4°C to 24.8°C) at outdoor temperatures of 12.7°C, to 21.9°C (20.3°C to 23.5°C) at outdoor temperatures of 0°C, and to 19.8°C (18.8°C to 20.9°C) at outdoor temperatures of −25.0°C (fig 5 ). The temperature of the living room in the evening was 22.6°C (20.9°C to 24.2°C) when outdoor temperatures were 7°C, at which temperature the Eurowinter survey data was standardised. 9 Daytime visits to unheated parts of the house or apartment and the numbers of people sleeping in unheated bedrooms declined as outdoor temperatures fell from 12.7°C to 0°C (fig 5 ); at temperatures below 0°C they stabilised with 12% visiting unheated parts of the house by day and 5.8% sleeping in unheated bedrooms (fig 5 ). Personal observation by WRK showed that rooms which were not heated in cold weather were often small and opened directly on to heated rooms and thus received indirect heating.

Lack of cold stress at temperatures above 0°C

This study found that as outdoor temperatures fell to 0°C in Yekaterinburg there was no increase in mortality from ischaemic heart disease, cerebrovascular disease, respiratory disease, or all causes. High temperatures indoors in combination with an increase in the number of layers of clothing worn and the amount of physical activity when outdoors generally prevented cold stress. Both the fall in temperature to 0°C and the associated increase in physical activity when outdoors increase local cooling of the respiratory tract, but without general chilling and cooling did not lead to any detectable increase in mortality.

The mean temperature in the living room in the evening declined slightly as outdoor temperatures fell. When outdoor temperatures reached 0°C living room temperatures were 21.9°C; this is higher than temperatures found in living rooms in western Europe when outdoor temperatures reached 7°C. 9 The indoor temperatures found in this study are expected to have permitted full thermal comfort indoors. Home heating in Yekaterinburg generally could not be controlled by the occupants; the increase in the amount of time spent in unheated parts of the house during the day and in unheated bedrooms at night when the outdoor temperature was above 0°C suggests that heated rooms were at or above optimally comfortable temperatures and people chose to spend time in unheated rooms.

Cold stress and mortality at temperatures below 0°C

Several factors may have contributed to the increase in mortality that occurred when outdoor temperatures fell from 0°C to −29.6°C. An increase in outdoor cold stress was indicated by an increase in shivering. The amount of outdoor clothing that was worn plateaued when temperatures were slightly below 0°C; there were no further increases in the amount of clothing worn when temperatures fell further, apparently because people did not have additional items of outdoor clothing to wear. Cold stress is unlikely to have occurred indoors even when outdoor temperatures were below 0°C since mean temperatures in living rooms were 19.8°C when outdoor temperatures reached −25°C. At these temperatures unheated rooms generally received indirect heating and were not occupied for long. However, when temperatures fell from 0°C to −29.6°C the small fall in indoor temperature from 23.1°C to 19.8°C, occasional visits to unheated rooms, or cooling of the respiratory tract by breathing cold air when outdoors may have contributed to the increase in mortality. The results do not exclude the possibility that genetic or lifetime adaptations to cold by the population of Yekaterinburg have lowered mortality in winter to rates below what they would otherwise be.

Relation between cold stress and mortality

The general cold stress and mortality related to cold seen at temperatures below 0°C in Yekaterinburg, and their absence at temperatures above 0°C, can be most easily explained by a causal relation between mortality and cold stress. These results reinforce those of our earlier study, which showed an association between cold stress and mortality among different populations in western Europe 9 ; they also support the findings of a time series analysis which showed close temporal associations between cold weather and cause-specific mortalities in England. 4 The results of this study suggest that most of the increase in mortality associated with cold weather in western Europe—which occurs mainly at temperatures above 0°C—could be prevented by a combination of simple protective measures against outdoor cold and ensuring that houses are warm.

Acknowledgments

We thank Dr Ruslan Halfin, head of the Health Department Administration, Sverdlovsk Oblast, and Dr Tamara Gribanova, director of the Regional Medical Computer Centre, Sverdlovsk Oblast, for the data on mortality.

Funding: The study was funded by the PECO scheme of the European Union for cooperation in science and technology with central and eastern European countries and with newly independent states of the former Soviet Union.

Conflict of interest: None.

Contributors: GCD contributed to designing the study, writing the paper, and computing the survey data and its relation to mortality. VET and SPE were responsible with staff in Yekaterinburg for assembly and initial analysis of mortality data, they participated in consultations on the design of the study, interpretation of results, and editing the paper. KB provided the climatic data and contributed to editing the paper. WRK initiated the study proposals, designed the study, commissioned the field survey through the field consultant, visited Yekaterinburg with the consultant at the start of the survey, drafted the paper, and is guarantor for the study.

• Auliciems A ,
• de Freitas C
• Heunis JC ,
• Olivier J ,
• Donaldson GC ,
• Keatinge WR
• Keatinge WR ,
• Coleshaw SRK ,
• Mattock M ,
• Syndercombe-Court D ,
• Woodhouse PR ,
• Plummer M ,
• Bainton D ,
• Eurowinter Group
• Lovett AA ,
• Bentham CG ,
• Flowerdew R
• Hayward MG ,

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Research Fellow (2 Posts)

Queen's university belfast - education studies (inc. tefl).

The Administrative Data Research Centre Northern Ireland (ADRC NI), is one of four UK centres (ADR UK) established to facilitate the safe linkage and analysis of routine Government administrative datasets to inform policy and practice. ADRC NI is currently undertaking a large programme of work and is seeking two experienced post-doctoral research fellows to aid in the delivery of our research packages. These post holders will work primarily on a project utilising administrative data to improve our understanding of the predictors and outcomes of homelessness in Northern Ireland, including mental ill health and mortality, but will also contribute to the wider ADRC NI programme where appropriate.

The posts have different durations, one until 31 st March 2026 and one until 30 th June 2026, in the first instance.

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To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information on our website.

Fixed term contract posts are available for the stated period in the first instance but in particular circumstances may be renewed or made permanent subject to availability of funding.

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Beyond a competitive salary, the University offers an attractive benefits package including a holiday entitlement of up to 8.4 weeks a year, pension schemes and development opportunities. We support staff wellbeing with flexible working options, work-life balance initiatives and support for physical and mental health. You can find more detail on all of this and more at www.qub.ac.uk/directorates/HumanResources/pay-reward-and-benefits .

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