508 cloud-computing-"https:" "https:" "https:" "https:" "https:" positions at University of Oxford
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About the Role We are seeking a Researcher to join our team and support our project, titled Using vignettes to capture real-time responses of mathematical thinking and affect. Reporting to Professor Gabriel Stylianides, you will work as part of a research group, including Professor Karen...
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on the National Institute for Health Research (NIHR) RESPOND Programme. This was a 5-year project to develop and trial methods for improving responses to deteriorating postoperative patients. The post will
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We are seeking a highly motivated Postdoctoral Research Scientist in Cancer Immunology to join a Cancer Research UK (CRUK)–funded research programme investigating the mechanisms of immuno
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We are seeking to appoint a Postdoctoral Researcher in Neuroscience to play a central role in a Wellcome-funded translational research programme focused on understanding how immune mechanisms
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. The post holder will join the dynamic and collaborative Department of Statistics. The Department carries out world-leading research in computational statistics, machine learning, theoretical statistics, and
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biology, mathematical and computational finance, numerical analysis, machine learning and data science or the Oxford Centre for Industrial and Applied Mathematics (OCIAM). The successful candidates will be
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are essential, along with strong computer literacy and familiarity with standard software packages. A working knowledge of statistics and experimental design, and experience using statistical software such as
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major themes—cardiovascular science, neuroscience and immunology—addressing key organ systems targeted by non-communicable diseases. About the role The IDRM Transition Fellowship programme aims to support
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you deliver is completed in a safe way. You will be computer literate, have great communication skills, and be confident in your ability to communicate with students, contractors and University staff
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– Artificial Intelligence (CoI-AI) Programme, a pioneering initiative that integrates controlled human infection models, advanced microbiology and immunology, and AI-driven analytics to accelerate vaccine