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The Royal Veterinary College, University of London; | Potters Bar, England | United Kingdom | 3 months 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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systems. You will also have opportunities to contribute to our open-source computational tools, teach master-level courses, and advise doctoral students. Our strong industry connections will provide
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of computational biology, molecular biophysics, and cutting-edge analytical technologies. You’ll contribute to the development and application of computational methods to understand protein folding, structure, and
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science, or human-computer interaction. Programming skills needed to do data analysis (we mainly use Python) You can be interested either in theoretical methods development or applications, or a bit of both
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of collaborative projects, working closely with clinicians, imaging experts, and computational scientists across the Oxford–Novartis Collaboration for AI in Medicine. You must hold a PhD/DPhil in Statistics
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basic molecular biology and biochemistry techniques Experience in protein expression and purification methods Good understanding of structural and molecular biology and biochemistry * Please note that
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multiple sclerosis under different treatment exposures. You will contribute to delivery of collaborative projects, working closely with clinicians, imaging experts, and computational scientists across
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’ group, led by Prof Achilles Kapanidis. The group is well known for developing single-molecule and single-cell fluorescence methods (Uphoff PNAS 2013; Robb, Sci Reports 2019; Zagajewski, Nature Comm Biol
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methods (Uphoff PNAS 2013; Robb, Sci Reports 2019; Zagajewski, Nature Comm Biol 2023, Chatzimichail, Lab-on-a-chip 2024) and applying them to proteins functioning on DNA and RNA (Stracy, PNAS 2015; Mazumder