461 computer-programmer-"Multiple"-"U"-"O.P" "University of Exeter" Postdoctoral positions in United Kingdom
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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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of Developmental Neurobiology and King’s College London. Brain Health in Gen2020 is a joint preclinical and clinical research programme that aims to map the fetal origins of childhood brain health and the impact of
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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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Mead Group to contribute to a major research programme focused on understanding and preventing disease progression in myeloproliferative neoplasms (MPNs). You will take a lead role in conducting wet lab
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group. The positions are associated with a new five-year Programme Grant on "Quantum Many-Body Physics with Ultracold Polar Molecules" funded by UK Research and Innovation (UKRI). The research builds upon
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United Kingdom Application Deadline 7 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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Kong Polytechnic University (HKPU), funded by Hong Kong’s InnoHK programme. Together, we are exploring how artificial intelligence and design can tackle some of the most pressing challenges of the 21st
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- Stratification of Therapies through Adaptive Responses (CRC-STARS) is a CRUK strategic programme. Through multiomic and spatial biology exploration of temporally distinct samples from clinical trials and advanced
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About the Role To undertake research investigations in collaboration with and under the supervision of Prof Gareth Sanger in order to realise the objectives and development of the research programme
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skills and knowledge of biodiversity to plan and lead research on how biodiversity change is unfolding in the Anthropocene. This project will assess and analyse existing biodiversity and ecological data