200 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" research jobs at University of Oxford
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to their ongoing research programme, which aims to unravel the complex mechanisms underpinning 3-dimensional growth in plants. This is a fixed term position for one year. About you The successful applicant will hold
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, and intervening in the internal representations and computations of large-scale AI systems. The project explores areas including automated circuit discovery, structured capability hypotheses from
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, Physics, Engineering or a relevant subject area, (or be close to completion) prior to taking up the appointment. The research requires experience in statistical mechanics method development, with
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to develop a personal research programme in observational or theoretical cosmology, with a particular emphasis on ultra-large-scale cosmology (including primordial non-Gaussianity and horizon-sized effects
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unique opportunity to work at the forefront of therapeutic genomics, leveraging large-scale functional genomic datasets and cutting-edge computational resources, including university HPC clusters and AWS
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interdisciplinary research programme investigating how immune mechanisms contribute to psychiatric and neurological disorders. The project combines human induced pluripotent stem cell (iPSC)- derived neuronal and
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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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Applications are invited for a Health Economics researcher to join a team led by Associate Professor Koen Pouwels. This research programme focuses on evaluating the cost-effectiveness of infectious
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a 3-year, fixed-term position, funded by a research grant from the UK Engineering and Physical Sciences Research Council. The starting date of this position is flexible with an earliest start date
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proven expertise in seismic data processing and analysis, knowledge of volcanic/ geothermal processes, strong quantitative skills, and proficiency in Python for scientific computing. You should be