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approaches to understand fundamental biological processes, with the goal of using this information to generate engineered antibodies for use as therapeutics in cancer and autoimmune disease. The appointee is
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research teams across Southampton and partner institutions. Data collection will involve travel throughout Southampton. About you Applications will be considered from candidates who are working towards
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co-develop a next-generation ocean component for integration into the universal climate model OASIS. We are looking for a candidate with a PhD (or equivalent) in Physical Oceanography, Atmospheric
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Computer Science, Southampton. The project is researching, developing and evaluating decentralised algorithms, meta-information data structures and indexing techniques to enable large-scale data search
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experience in qualitative and quantitative data skills in health research. Applications will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification. The
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to contribute to a world-leading project on Survey Data Collection Methodology Survey Futures https://surveyfutures.net/ . Survey Futures is a collaboration between nine universities and three survey
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Research Fellow in Intervention Development to join the Big Data in Health Group About us Our big data in health team at the University of Southampton is based in the Primary Care Research Centre
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. Knowledge of qualitative data acquisition and analysis and a keen interest in further developing your skills would also be an advantage. You will be a skilled and sensitive listener and communicator, able
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to the development of intelligent design workflows using CFD and data-driven methods to assess and optimise next-generation vessel designs. You will collaborate closely with project partners, applying state-of-the-art
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. Responsibilities will include: systematic reviewing and evidence synthesis, project management (coordination and reporting), maintaining high quality research procedures, qualitative and quantitative data collection