78 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" "St" Postdoctoral positions at University of Oxford
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responsible for supporting the delivery of various foresight research projects the Centre will be undertaking. This is an excellent opportunity to gain academic research experience and to learn from leading
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students in the group. Candidates should have strong training in cross-disciplinary applied mathematics, with a demonstrated interest in biology, and experience in machine learning approaches is a plus. We
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turbines represented using an actuator-line approach, assess the applicability and limitations of reduced-order models in predicting turbine performance, and develop machine-learning surrogate models capable
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(min 0.5 FTE) and fixed term for 24 months from March 2026. The post holder will either be based in the Manor Road Building or at the Faculty of Law, St Cross Building, Oxford. Applications
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well as companies and governmental organisations . They will contribute to the activities of the wider machine learning and data science research group and write up the results of their work, with co-authors
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collaborate with other technical groups working on the design. The successful candidate will also have opportunity to conduct experiments and machine development activities on the existing accelerators. The key
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tablet based cognitive screening tools for use with those with acquired brain injuries (e.g., stroke, traumatic brain injury etc). The post-holder will be expected to be central in data collection in
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proof-of-principle repetition-rate and staging experimentation. The successful candidate will perform duties that include developing/using particle-in-cell computer codes hosted on local and national high
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environment, please get in touch to learn more. Similar advertised posts can be found below The closing date for applications is 12 noon on 15/04/2026, please upload a CV and supporting statement as part of
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touch to learn more. Similar advertised posts can be found below The closing date for applications is 12 noon on 15 April 2026, please upload a CV and supporting statement as part of your online