165 parallel-and-distributed-computing-phd Postdoctoral positions at University of Oxford
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, “Determining extinction correlates on geological timescales”. Providing guidance to less experienced members of the research group, including research assistants, technicians, and PhD and project students
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immunologist with a strong interest in T cell biology and immune regulation. The ideal candidate will have: • A PhD (or be close to completion) in immunology or a related biomedical field
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and actively contribute to the wider academic environment of the group. It is essential that you hold a PhD/DPhil (or close to completion) in immunology or a related biomedical discipline and have
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microscopy and bioimaging methods to understand dynamic cellular aspects of ciliary dynein assembly. You should hold, or be close to completion of, a PhD/DPhil in biochemistry, together with relevant
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simulations, generalize experimental observations, and offer insight on the response of selected case studies. You should hold a PhD/DPhil (or be near completion) in numerical modelling for geotechnical
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, operations research, computer science, mathematical finance, or a related field, the successful candidate will demonstrate the ability to develop independent research ideas and contribute to advancing our
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the Department of Engineering Science at the University of Oxford. The post is funded by the Oxford Martin Programme on Circular Battery Economies. It is fixed term up to December 2027. You will undertake
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Metabolism (OCDEM) on studies related to circadian rhythms in population health. This post is part of a large, interdisciplinary research programme, offering attractive opportunities to work across
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project will involve both remote-sensing and field-based observations and data collection. It will provide outputs to the World Bank CAWEP (Central Asia Water Energy Power) programme to aid the design
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Machine Learning, Human-Computing Interactions, Social Sciences, and Public Health. Applicants should hold, or be close to completion of, PhD/DPhil with research experience in computer science, statistics