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Research Fellow in Human Nutrition Applications are invited for a Research Fellow to join Professor Philip Calder’s research group in the School of Human Development and Health in the Faculty of Medicine. This is a limited time position to complete a systematic review. You will have a PhD or...
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(MRC CMM) seeks an experienced research associate to join a recently funded 5-year programme of antifungal drug discovery at the MRC Centre for Medical Mycology. This exciting new programme connects MRC
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We are looking to appoint a postdoctoral researcher, to work with a group of UK Higher Education Institutions to deliver a programme of mental health research. The work is funded by the Medical
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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
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previous GEM initiatives, including the Inclusive Cities programme. You will have a passion both for academic research and for knowledge exchange with policy makers, NGOs, and other stakeholders and an
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We are looking to appoint a postdoctoral researcher, to work with a group of UK Higher Education Institutions to deliver a programme of mental health research. The work is funded by the Medical
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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
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The Role Applications are invited for a Postdoctoral Research Associate in Mathematics with a particular emphasis on the p- adic Langlands programme and related areas. The research project , led by
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shelves, the breakup of which can speed up flow of grounded ice and affect global sea level, and on the highly specialised Antarctic biodiversity. This ambitious programme brings together leading UK (BAS
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on a new project called TRUSTLINE, which is part of the Learning Introspective Control (LINC) DARPA Program. The project aims to develop machine learning (ML)--based introspection and monitoring