335 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions at University of Oxford in United Kingdom
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the sequence of the human genome and the development of common diseases. You will work on a collaborative project that aims to develop Machine Learning and laboratory-based approaches, for decoding how the human
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to work in the UK. The University of Oxford offers an attractive range of competitive benefits available to all staff for both work and personal life - https://hr.admin.ox.ac.uk/staff-benefits
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at https://www.kcl.ac.uk/jobs and attach the following additional documents to your application: Up-to-date CV. A supporting statement, detailing how you meet the essential criteria listed in the person
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Skills Centre. The programme will cover all aspects of the role and will be delivered through in-house training, as well as block/day-release or other learning methods provided. You will complete a Level
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/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://www.jobs.ox.ac.uk/application-process The
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experience working with frontend/backend web development, machine learning, or high performance computing would be desirable, as would any experience designing or delivering training courses. This post is
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process at https://www.jobs.ox.ac.uk/application-process The closing date for applications is 12.00 midday 21 April 2026
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University pages on the application process at https://www.jobs.ox.ac.uk/application-process The closing date for applications is 15 April 2026
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, Physical and Life Sciences Division at Oxford may be found at www.medsci.ox.ac.uk/departments and www.mpls.ox.ac.uk/departments https://www.humanities.ox.ac.uk/faculties-and-units-0 and https
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Policy online course, which is FCDO’s flagship learning offer. The course aims to provide learners with a clear understanding of important economics concepts relating to foreign policy, development, and