271 programming-"the"-"DAAD"-"UCL"-"FEMTO-ST"-"Prof" Postdoctoral positions in United Kingdom
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Europe Programme, the EU’s primary funding program for research and innovation. The synthesis centre hosts collaborative interdisciplinary working groups from outside institutions, along with a team of new
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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family, mortality and health, migration, or population analysis and human capital. The candidate should present a clear personal work plan for the six-year role. The position involves teaching in English
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researchers in the Future of Food programme at the Oxford Martin School. You must hold or be close to the completion of a doctoral degree in a relevant field (e.g. data science, industrial ecology, geography
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) Country United Kingdom Application Deadline 25 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Part-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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Application Deadline 16 Oct 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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) a PhD in a quantitative discipline such as computer science, mathematics, statistics, engineering, or a related field. Strong programming skills and experience in machine learning or statistical
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environment and impact with the QR funding allocated for the Faculty of Arts, Business and Social Sciences (FABSS). The plan is to support 0.6fte post-doctoral research fellowships (24 months each, UW9 posts
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environment and impact with the QR funding allocated for the Faculty of Arts, Business and Social Sciences (FABSS). The plan is to support 0.6fte post-doctoral research fellowships (24 months each, UW9 posts
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-quality research in mathematically rigorous probability Desirable criteria 1. Demonstrable ability to plan and manage independent research. 2. Experience in one or more of these topics