17 phd-computational Postdoctoral positions at University of London in United Kingdom
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into clinically meaningful insights. About You We are looking for a motivated researcher with a PhD (or near completion in 2025/26) in statistical genomics, genetic epidemiology, bioinformatics, or a related field
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to work on a project investigating mechanosensing in flies (Diptera). This post will focus on using detailed wing geometry models and free flight kinematic measurements in computational fluid and structural
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About the Role We are recruiting an enthusiastic postdoctoral research associate to conduct a scientific programme of work focussed on pain mechanisms in epidermolysis bullosa, under the supervision
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qualification/experience equivalent to PhD level in a relevant subject area (physics, engineering, computing science, etc.). You will need as essential skills a good knowledge of C++ and python, familiarity with
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About the Role You will develop and apply novel computational methods to quantify the societal impact of fundamental science discoveries. Candidates close to completion of their PhD will initially
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programme. The particular emphasis of the project will be to examine the interaction between atherosclerotic plaque macrophages and neutrophil extracellular traps and how it impacts cellular function and
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for medicine use before and during pregnancy. This postholder would work primarily on a recently funded programme of work to develop a novel approach to understanding and communicating the Safety of Medicines in
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About the Role The project “An Erlangen Programme for AI” (funded by the UKRI), will broadly involve applying advanced mathematical techniques for understanding training in neural networks, with
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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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collaborative and interdisciplinary and the ability to work in a team is essential. About You The successful candidate will be expected to have a PhD degree in biological or computational sciences or equivalent