221 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Oxford
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for the project’s goal and a willingness to learn and develop new skills as the work evolves. Given the highly interdisciplinary nature of the role, you will be expected to collaborate closely with researchers from
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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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sciences, AI, machine learning or related fields. Strong background and track record in the development of geospatial foundation models from multi-modal Earth Observations is essential as well as strong
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schemes Cycle and electric car loan schemes Employee Assistance Programme Membership to a variety of social and sports clubs Discounted bus travel and Season Ticket travel loans While this is a full-time
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An exciting opportunity has arisen for a Postdoctoral Research Assistant in the Department of Physics. Machine learning has made enormous progress during recent years, entering almost all spheres
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5 years. The appointments will be in the area of statistical quantitative finance/financial econometrics, in particular data science and machine learning applied to quantitative finance
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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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biology, genomics, proteomics, immunopeptidomics), immunology (including machine learning, bioinformatics, preclinical validation) and clinical development (including trial design and delivery and
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quickly learning new skills as required whilst maintaining a high level of attention to detail. Experience of creating collaborative and inclusive environments with people from different backgrounds. What