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Fellow will use their research knowledge, skills and experience to contribute to the design and delivery of an ambitious research programme within the Law & Policy work stream. This includes (but is not
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with a wider interdisciplinary research team Participate in wider networks, including the Adult Social Care Cluster and DEMCOMM programme events Main Duties The responsibilities may include some but not
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the British Geological Survey and a variety of external project partners. There will be travel opportunities to work in-person with this network of collaborators, as well as for presenting the research
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(https://www.cam.ac.uk/research/research-at-cambridge/strategic-research-initiatives-networks ). The School of Biological Sciences has state of the art facilities in imaging, high performance computing and
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, information retrieval, computer networking or semantic web. The post does not involve working outside of the UK for over 30 days in a row or over 90 days in a year. For further information please contact
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will primarily support the Head of School (Professor George Panoutsos, Chair in Computational Intelligence) and his research activities in the area of Machine Learning (ML) for Engineering, focusing
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qualitative interviewing in the field of cancer prevention and will contribute to national work on stratified bowel cancer screening. Through expertise within an associated Cancer Research UK programme grant
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Living Systems Institute, the successful applicants will join a world-leading programme of investigations into the plasticity of pluripotent stem cells and their underlying gene regulatory network
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Iridis research computing facility . You will receive mentoring and technical guidance from the project’s academic leads, Dr. Tahsin Tezdogan and Dr. Nicholas Townsend, and gain exposure to a national
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will make one discovery-scientist post. You will have a track record working on normal breast tissue in vitro modelling and already have an established network of local collaborators, including clinical