344 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at University of Oxford
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criteria found in the job description, and why you would like to do this role. See guidance at https://www.jobs.ox.ac.uk/cv-and-supporting-statement. Any technical questions related to this vacancy can be
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work and personal life - https://hr.admin.ox.ac.uk/staff-benefits Committed to equality and valuing diversity We welcome applications from individuals from all backgrounds, including those under
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teach, supervise, and examine undergraduate and postgraduate students. Applications are particularly welcome from women and black and minority ethnic candidates, who are under-represented in academic
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professional services. For more information please visit: https://finance.admin.ox.ac.uk/ What We Offer Working at the University of Oxford offers several exclusive benefits, such as: • 38 days of annual leave
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, socially grounded approaches to disease threats affecting animal and human health — learning from those who manage biological risks in everyday settings rather than relying solely on top-down models. Working
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@cardiov.ox.ac.uk Georgia Broom – cvm_personnel@cardiov.ox.ac.uk The University of Oxford offers an attractive range of competitive benefits available to all staff for both work and personal life - https
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would like to do this role. See guidance at https://www.jobs.ox.ac.uk/cv-and-supporting-statement. Any technical questions related to this vacancy can be sent to: recruit@ouce.ox.ac.uk The closing date
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required to upload a covering letter/supporting statement, CV and the details of two referees as part of your online application. Please see the University pages on the application process at https
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statement, CV and the details of two referees as part of your online application. Please see the University pages on the application process at https://www.jobs.ox.ac.uk/application-process The closing date
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3.5-year D.Phil. studentship Supervisors: Prof Noa Zilberman The training of new AI models, as well as their deployment for inference, is transforming the design of computer networks. In