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The Royal Veterinary College, University of London; | Potters Bar, England | United Kingdom | 1 day ago
). This post will focus on using detailed wing geometry models and free flight kinematic measurements in computational fluid and structural dynamics simulations to recover dynamic strain and flow fields
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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 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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supervise junior researchers. Uphold best practice in ethics, data management, and research governance. About You To demonstrate at least one of the following : A PhD (or near completion) in computer
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work closely with Prof. Hanna Kienzler, Prof. Stephani Hatch, and Dr Rebecca Rhead as part of the Centre’s ‘Marginalised Communities’ programme. This involves partnering with Black and racially
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schizophrenia-related symptoms in animal models (mice), in the context of a collaborative project with clinicians and computational scientists. This project will be supervised by Prof Oscar Marin and Prof Beatriz
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clinicians and computational scientists. This project will be supervised by Prof Oscar Marin and Prof Beatriz Rico. Candidates should have strong experience in stereotaxic surgeries and Electrophysiology
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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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associate with expertise in data science to join the King’s BHF Centre of Research Excellence and contribute to a growing cardio-immunology research programme. Inflammation is increasingly recognised as a key
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-term persistent infections, as well as on newly emerging variants of concern (VOCs). We are seeking a highly motivated candidate that has obtained (or will obtain soon) a PhD in a relevant subject (i.e