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element analysis, fluid-structure interaction). This work will contribute to improving our understanding of valve biomechanics, inform device design, and support the development of advanced diagnostic and
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University of Oxford and Kavli Institute for the Physics and Mathematics of the Universe, University of Tokyo, structured such that the first 18 months of this position will be based in Oxford, with Dr Will
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practices, organisational structures, and existing infrastructures. Building on insights from ethnographic studies of robot use in healthcare, which have shown how human-robot collaboration is shaped by
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. Excellent written communication and report writing skills. Desirable Knowledge, Skills and Experience: Demonstrated expertise in protein structural modelling. Demonstrated expertise in enzyme structure-guided
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of water and sediment samples from glacier fronts in Greenland. Analysis and interpretation of vibroseismic data from the interior of Greenland with a focus on water and sediment thicknesses. Construction
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to predict bacterial growth from protein sequence and compound molecular structure. Applying generative and predictive models to propose novel compounds optimized for broad-spectrum activity against diverse
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independent policy advice on all aspects relating to the structure and functioning of the financial system. It aims to contribute to strengthening a sustainable and resilient financial system that drives
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and through adolescence with particular focus on interactions between structural conditions and determinants. More specially, the research project aims to examine the interplay between neighbourhood
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on innovative device fabrication for quantum technologies. Strong interest in construction of novel devices is essential. The position is funded as a post-doctoral fellowship with a minimal term of two years
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testing and computational simulations (e.g., finite element analysis, fluid-structure interaction). This work will contribute to improving our understanding of valve biomechanics, inform device design, and