17 affective-computing-"https:"-"https:"-"https:" Fellowship research jobs at University of London
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About the Role We are looking for a Computational Senior Research Fellow to join the ERC-Synergy funded MUTAHOME project, a multi-institutional collaboration between Queen Mary University of London
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approaches to non-communicable diseases in low-resource settings. The postholder will be responsible for conducting economic evaluations (cost-effectiveness analysis, budget impact analysis, and value
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linked EHR data. This project explores socioeconomic and ethnic inequalities in respiratory virus transmission and their impact on GP services in winter and whether these pressures are evenly distributed
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and analysis for a range of projects that describe and evaluate the impact of food system changes on food purchases and health outcomes. The post-holders must have a postgraduate degree, ideally a
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and socioeconomic variables; lead workshops and collaborations with specialists to co-design outbreak response protocols; build capacity to evaluate the impact of these new protocols using a range of
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. Supported by a BHF Programme Award, this role offers an excellent opportunity for a motivated clinician to pursue academic cardiology in a leading research environment. The Fellow will contribute
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endemic countries. We are seeking to appoint a Research Fellow to join a research programme that applies advanced bioinformatic, statistical, and population genomic approaches to large-scale sequencing data
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statistical input within long-standing and high impact research collaborations with the Dementia Research Centre at the Institute of Neurology, UCL. The role also includes teaching of postgraduate students
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of commercial influences and biases and how these affect research and research methods. The post is full-time, 35 hours per week, 1FTE and fixed-term until 31 August 2027. The post is funded by the NIHR and is
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impact of the large-scale provision of azithromycin on child mortality. Candidates must have a postgraduate degree, ideally a doctoral degree, in a relevant topic and experience with demographic or health