29 phd-in-mathematical-modelling-population Postdoctoral positions at University of London
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have a PhD and track record in either computer science with specialisation in relevant AI technologies for surrogate modelling, or in Earth or Environmental Science with a strong track record in
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also have or be close to completing a PhD in any of the following areas as well as the will and commitment to learn relevant topics from the other areas: Statistical and machine learning, mathematical
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In Vitro Predictive Models to Explore Tendinopathy”. The project is funded by the Medical Research Council (MRC) and part of the organ-chip research work underway within the Centre for Predictive in
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project investigating mechanosensing in Diptera. This post will focus on using detailed wing geometry models and kinematic measurements in computational fluid and structural dynamics simulations to recover
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, considering genetic and environmental risk factors and their interplay. About You A successful applicant should have, or expect to soon receive, a PhD in psychology, psychiatry, bioinformatics, human genetics
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computational methods (Efremova et al. Nature Protocols, 2020; Jain et al., Genome Biology). About You PhD in a biological or computational subject and background in working with genomics data. About the School
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partners at NHS England and Nuffield Health. About You You will have a PHD (or close to completion) or experience at a comparable level in a relevant subject area. You will have experience of working with
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infrastructure enables recruitment of 200-300 severely injured patients annually as part of the ACIT study. We also have a well-established experimental modelling group with full ethical approvals in place for all
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policies. The Unit aims to improve population health and food environments through research and impact on the nutritional quality of food and drink, with a track record of success in reducing salt and sugar
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are seeking highly-motivated researchers holding or near completion of a PhD in a relevant biological or life sciences subject. The ability to develop independent insights into the project, solve complex