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) the fern Ceratopteris richardii . This position will be based in the Plant Science & Food Security theme within the School of Biosciences on the University of Birmingham Edgbaston Campus. The School is part
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values diversity acting as a role model and fostering an inclusive working culture Person Specification A First degree with strong quantitative and informatics component e.g. biological, biomedical
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uncertainty quantification via conformal prediction. You’ll contribute to open-source projects, extending tools like MONAI for the computational pathology community, and support the data science team in
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privileges the role of scholarly evidence and engagement to mobilise action as opposed to perpetuating the divide between science and practice. We capitalise on the breadth of expertise within the University
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, supported by PEACEPLUS, a programme managed by the Special EU Programmes Body (SEUPB). The PEACEPLUS programme is co-funded by the European Union, the Government of the United
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. You will also be responsible for implementing the model as a computer simulation and analysing it within a health-economics framework using standard computational techniques. You will also be
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Research Fellow - OSMOSIS research programme Apply online Job number SHMS00480 School / Service School of Health & Medical Sciences Department Nursing Location Myddelton Street Building Contract
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reinforcement learning, computational rationality and user modelling, and simulator-based inference. The post-holder will work on a project from Professor Kaski’s UKRI Turing AI World-Leading Fellowship. Research
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Research Fellow in Intervention Development to join the Big Data in Health Grou About us Our big data in health team at the University of Southampton is based in the Primary Care Research Centre. We are an interdisciplinary group focused on conducting innovative research to address the health...
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About the role The Research Fellow will be part of a 2-year project funded by the NIHR Research Programme for Social Care looking at how homecare supports the food and drink needs of older adults in