206 computer-programmer-"https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" research jobs at University of Oxford
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global advisory firm Ernst & Young (EY). The research programme spans a number of related projects which explore the organisational conditions and leadership practices that enhance the odds of success
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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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for a postdoctoral researcher with a strong background in epidemiology, biostatistics or a related field to contribute to the ATLAS Cancer Grand Challenges programme and the Unit’s broader portfolio
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The PANDAI (European Pandemics AI Observatory) programme is a Horizon Europe-funded international research initiative developing advanced artificial intelligence methods for pandemic preparedness
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Research and Innovation (UKRI) and the NIHR School for Primary Care Research (SPCR). This post is funded at 1 FTE. Post 2: The postholder will work on the ‘EMOTIVE-AMS’ programme, funded by UK Research and
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and is the largest European academic department in its field, running a globally competitive programme of research and teaching. The Kennedy Institute is a biomedical research centre uniquely bringing
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at the Big Data Institute (BDI), University of Oxford. The successful candidate will contribute to a strategic research programme integrating population-scale biomedical data, multi-omics technologies, and
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Oxford Saïd Business School is seeking to appoint a Postdoctoral Research Fellow to join the Oxford/EY Transformation Value research programme, a long-standing research partnership between Saïd
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The National Perinatal Epidemiology Unit (NPEU) is looking for a Researcher in Statistical Epidemiology to join our research team working on an exciting new programme of research to improve
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the mechanisms underlying cognitive map failures in psychosis. You will plan and conduct experiments, analyse behavioural and neural data using computational methods to study planning and inference, contribute