224 computer-programmer-"https:"-"UCL" "https:" "https:" "https:" "CMU Portugal Program FCT" positions at University of Birmingham
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programme which provides all professional services staff with development opportunities and the encouragement to reach their full potential. With almost 5,000 professional services jobs in a wide-range of
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programme which provides all professional services staff with development opportunities and the encouragement to reach their full potential. With almost 5,000 professional services jobs in a wide-range of
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delivering the research goals of the group Conduct a research program, defined in agreement with the group Contribute to writing bids for research funding (including facility access) Analyse and interpret data
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activities within an established research programme and/or specific research project. Role Summary • Work within specified research grants and projects and contribute to writing bids • Operate within area of
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celebrate their success. We are committed to helping the people who work here to develop through our sector-leading Birmingham Professional programme which provides all professional services staff with
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future of formulated polymers. We are seeking a Research Fellow in Computational Chemistry and AI/Machine Learning to advance the state of the art in understanding the degradation and biodegradation
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develop through our sector-leading Birmingham Professional programme which provides all professional services staff with development opportunities and the encouragement to reach their full potential. With
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Status Full-time Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you a
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candidates with an exceptional track record may also be considered. For further information and guidance, please contact Dr Mingee Chung at m.chung@bham.ac.uk References: https://www.birmingham.ac.uk/news/2024
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reports to develop computational models that predict identification reliability. They will learn to design interpretable, legally robust AI systems, including attention-based deep learning models and