15 computational-physics-"https:"-"https:"-"https:"-"https:"-"Trinity-College,-Dublin" Fellowship positions at King's College London in United Kingdom
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THIS VACANCY IS OPEN TO INTERNAL CANDIDATES ONLY About Us We are seeking a highly motivated and experienced researcher to work on the large-scale programme and associated projects of the Data
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open to researchers utilising a broad range of methods and we will be open to applications exploring how specific mental and brain health conditions may co-occur with physical conditions in
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of future food and alternative proteins, priority areas of interest are highlighted below: Cultivated meat: examples include a research program on cell line development, cell engineering, process optimisation
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conferences in areas of machine learning, computer vision, and Large Language Models and high-impact specialist peer reviewed academic journals. • Ability to conduct interdisciplinary research activities
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, and with expertise in quantitative and qualitative methods, to develop a training and capacity-building programme and lead research projects working on large datasets. On training and capacity-building
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part of an EPSRC Programme Grant involving 15 co-investigators in a range of disciplines related to development of PET imaging strategies for the development of healthcare nanomaterials for therapeutic
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), based within the Department of War Studies at King’s College London, is seeking a Research Fellow for its new Net Assessment Programme. They will be engaged on a new multi-year research project funded by
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assessed at each stage of the recruitment process. Further Information At King’s, we believe that the diversity of our community and a culture that is welcoming, open, inclusive and collaborative, are great
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projects, and contributing to the preparation of research proposals. The role involves conducting independent and collaborative research, identifying potential funding sources, and supporting the process of
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clinical base at the Maudsley Hospital and involves affiliated laboratories across King’s Health Partners. The programme is strongly lead by statistical modelling to predict not just Parkinson’s disease (PD