95 computer-programmer-"Multiple"-"U"-"U.S"-"Prof" "UNIVERSITY OF MELBOURNE" Postdoctoral positions at University of Oxford
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About the role We are seeking a highly motivated, a postdoctoral researcher in computational biology. We investigate how immune cells interact with their environment in the human gastrointestinal
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Are you passionate about taking a lead role in a cutting-edge project at the intersection of genomics, computational biology, and haematological cancer? We have an exciting opportunity for a Senior
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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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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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hepatitis and liver disease. This post is funded by the National Institute for Health and Care Research (NIHR) as part of a significant research programme that leverages large-scale healthcare datasets
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computational workflows on a high-performance cluster. You will test hypotheses using data from multiple sources, refining your approach as needed. The role also involves close collaboration with colleagues
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. The main objectives of Dr Kapetanovic’s research programmes are the: • Development of novel genetic and optogenetic therapies for retinal diseases. • Investigation of innovative ocular surgical techniques
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, defensive mechanisms and related topics to the safe deployment of systems contain multiple LLM and VLM powered models. You will be responsible for Developing and implementing; capability evaluations, attacks
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part of a wider programme of work to establish that membraneless organelles, biological liquid droplets, are effectively regions of organic solvent, suspended inside cells and that the properties of each
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Colorectal Cancer - Stratification of Therapies through Adaptive Responses (CRC-STARS) programme, developing and applying cutting-edge mathematical methods to spatial transcriptomics imaging data in order to