12 parallel-computing-numerical-methods-"DTU" Fellowship research jobs at University of London
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the study in collaboration with research teams at Nottingham, Oxford, UKHSA and Manchester with expertise in mixed-method policy evaluation, antimicrobial resistance, pharmacy practice research, primary care
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in methods of evidence synthesis with a focus on complex public health topics is essential. They should contribute to written outputs, preferably peer-reviewed, consistent with disciplinary
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epidemiological or econometric methods, using R software package, and an understanding of techniques used in agent-based modelling. The post is full-time 35 hours per week, 1.0 FTE and fixed term until 31 December
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mitigation priorities for the UK. Candidates should also be experienced in conducting quantitative research and applying spatio-temporal epidemiologic methods, ideally to environmental health data. Further
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project developing Bayesian causal inference methods for mediation analysis using Electronic Health Records (EHR) data. The Research Fellow will design and implement Bayesian methods and software
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in developing countries through excellence in research, healthcare, and training. Our research programme includes basic scientific investigations, clinical trials, epidemiological studies, intervention
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statistical computing packages is essential to this post. Further particulars are included in the job description. The post is part-time, 17.5 hours per week, 0.5 FTE and fixed-term until 31 August 2026 in
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, the models will incorporate novel estimates of vaccine waning and account for variation vaccine effectiveness across different populations within the UK. The post will be part of a large research programme on
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to work flexibly across campuses and teams along with good computing skills. A higher degree would be desirable. About the School/Department/Institute/Project The Barts Cancer Institute (BCI) is a Cancer
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are part of a programme of work in the newly established Queen Mary and Barts Health Tuberculosis Centre, led by an internationally respected group of clinicians and researchers. About You We are looking