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, to contribute to cutting-edge research on the early detection and prevention of primary intestinal tumours using animal models of ageing. The project involves a range of advanced techniques, such as complex mouse
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an associated Masters, or ideally PhD, qualification. - Experience of processing and analysing large biological datasets. - Expertise in programming using at least one of R or Python. - Experience in
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the position may offer a pathway to a PhD application for the right candidate Fixed-term: The funds for this post are available for 12 months in the first instance. Click the 'Apply' button below
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Fixed-term: The funds for this post are available for 36 months in the first instance. We are looking for a Post-Doctoral Research Associate (PDRA), with a PhD in Physics, Materials Science or
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. The successful applicant will have (or be about to obtain) a PhD in a relevant subject. The applicant is expected to develop new ideas and concepts in the areas outlined below in collaboration with the PI, by
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be about to obtain) a PhD in chemical biology. They will be highly motivated and able to work independently. Excellent organisational and interpersonal skills are required to ensure success in liaising
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human disease modelling, therapeutic target discovery, functional genomics and Artificial Intelligence/Machine Learning. The Enterprise arm of the MTI provides a comprehensive support system, which is
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in the Lab of Interdisciplinary Spatial Analysis (LISA) in the Department of Land Economy, University of Cambridge. This position is funded by the City University of Hong Kong and will be held
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and committed undergraduates and postgraduates. The successful applicant for this position will have a PhD, formal pedagogical training, and recent experience in delivering outstanding University
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(LISA) in the Department of Land Economy, University of Cambridge. This position is funded by the City University of Hong Kong and will be held at Cambridge. The Fellow will work under the supervision