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experience with a range of analytical methods such as multinuclear NMR, infrared and UV-vis spectroscopy, X-ray diffractometry and mass spectrometry. Experience using computational methods (DFT) and physical
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The Department of Computing wishes to recruit a Cloud and GPU Infrastructure Manager to be responsible for the administration, maintenance, and optimization of both our internal GPU infrastructure
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for impact by addressing computational problems and real-world healthcare challenges. The researcher will be responsible for developing and implementing new approaches, testing and evaluating methods on real
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methods, gathering requirements, identifying solutions, building data flows and models and representing the data needs and requirements of the Faculty and department education teams. You will work
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related discipline (Anthropology, Sociology). You will have (advanced) knowledge of research methods, particularly in qualitative research, including interviews, focus groups and thematic analysis
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analysis, your work will help drive a consistent and high-quality digital learning and administrative experience. We’re looking for someone who is confident with digital systems and has a methodical, detail
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training efforts, contribute to publications, and help supervise junior researchers as the project expands. Key Responsibilities Develop and apply generative ML and statistical inference methods to ANC
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/Associate at Theme 4, you will be expected to engage in collaborations across themes and identify funding opportunities. You will provide expertise in quantitative, qualitative and/or mixed-methods research
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at the interface between computational design and in vitro experiments, the team has developed multiple in silico and in vitro methods to design novel antibodies and nanobodies as therapeutic agents and research
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academics. You will be highly numerate with experience of providing financial management advice to budget holders. Experience of full economic costing, of interpreting research funder regulations, and working