102 computer-programmer-"Lancaster-University" Postdoctoral positions at University of Oxford in United Kingdom
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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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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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to enable robust robot autonomy in complex, real-world environments. The post sits within our EPSRC Programme Grant in Embodied Intelligence and will advance the state of the art in localisation and scene
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for this post. The successful candidate will be required to develop a personal research programme in theoretical cosmology (which may include numerical modelling and/or data analysis), interacting with faculty
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Applications are invited for a Postdoctoral Researcher in Health Modelling, to work with a team working with Dr Ben Amies-Cull on a research programme on the Cities for Better Health: Child Obesity
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Oxford EARTH (Equitable Access to sustainable Resources for a Thriving Habitat), a new strategic research programme. While this role will be based within SoGE, the other three posts span across Chemistry
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of Associate Professor is an exciting opportunity to pursue an independent programme of research in a thriving scientific community, while also contributing to undergraduate and graduate teaching at both
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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
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We are seeking a talented and motivated researcher to join the Mead Group to contribute to a major research programme focused on understanding and preventing disease progression in
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Raman’s cardiovascular research team. This role is embedded within a cutting-edge programme focused on integrating high-dimensional datasets, including advanced cardiac MRI (oxygen-sensitive, metabolic, and