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individually, make a real difference. The role We are looking for a part-time research assistant (1 day a week for a year) to work with us on a project that aims to develop a set of resources that support
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Applications are invited for a Research Associate position to work as part of the flagship Centre for Landscape Regeneration (CLR). The CLR is an ambitious programme of research that aims to provide
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the biological mechanisms behind these neurological and sensory disorders and harness this knowledge to develop new therapeutic strategies. We have world-leading experts who interrogate these conditions at
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, development of neighbourhood portraits, interviews, community surveys, mapping). You should have a PhD degree in relevant areas of Public Health and experience of organising and conducting research in a
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University is recognised for its world-class research, knowledge exchange and educational programmes. At the heart of this is the Faculty of Engineering, which boasts a growing research portfolio of nearly
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the biological mechanisms behind these neurological and sensory disorders and harness this knowledge to develop new therapeutic strategies. We have world-leading experts who interrogate these conditions at
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. This post forms part of an international multi-site programme with the title: Sociology of Authoritarian Law: Insights from Central Asia (SOCIAL), which is based at the University of Lund. It is funded under
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. This post forms part of an international multi-site programme with the title: Sociology of Authoritarian Law: Insights from Central Asia (SOCIAL), which is based at the University of Lund. It is funded under
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research-intensive technology university delivering economic, social and cultural benefits. For more information please visit: https://www.brunel.ac.uk/about/our-history/home The Centre for Advanced
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for 36 month fixed term at 0.6 FTE (22 hours). Key Accountabilites Organising intervention sessions and data collection, including set up, implementation and analysis of the SleepBoost intervention program