107 postdoc-computational-fluid-dynamics Postdoctoral positions at University of Oxford
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fluid dynamics. You will be able to work independently, and you must have the ability to manage your own academic research and associated activities. You will have excellent communication skills including
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the mechanisms driving autoimmunity and autoinflammation, and capture cross-tissue and cross-disease dynamics of T cell immunity. You will join a computational biology team that collaborates closely with
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Applications are invited for a Postdoctoral Research Associate in Atmospheric Dynamics position. This role is part of the recently funded NERC ‘Arctic Butterflies’ project to investigate the role
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About the role We are seeking a full-time Postdoctoral Researcher to join the Oxford Secure and Advanced Computer Architecture Research (OSCAR) group at the Department of Engineering Science
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Computational Neuroscience and related fields as part of the Medical Research Council, UKRI grant “Algebraic topology bridging the gap between single neurons and networks”. They will be expected to conduct
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properties of Li-rich three-dimensional materials for lithium battery cathodes using density functional theory (DFT), molecular dynamics, cluster expansion, machine learning computational techniques. This work
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About the Role We are seeking an experienced and highly motivated senior postdoctoral researcher in computational biology. The successful candidate will join a multi-disciplinary team working in
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developing a novel platform to uncover the hidden dynamics of proteins in health and disease. Your Role As a postdoc on this project, you’ll be part of a dynamic team working at the intersection
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About the role We are seeking a full-time Postdoctoral Research Assistant to join the Computing Infrastructure research group at the Department of Engineering Science (central Oxford). The post is
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The post holder will develop computational models of learning processes in cortical networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity