235 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs at University of Oxford
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held on the 30th March 2026. Why join Kellogg? Becoming part of Kellogg means joining a diverse, egalitarian and welcoming community where people support one another to learn and grow. In return, we
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one another to learn, grow, and excel. In return, we offer: 38 days’ paid holiday, part of the University pension scheme and access to Oxford University staff benefits and wellbeing support
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that present opportunities for IDDO and its end-users. You will remain abreast of new developments in data science and data visualisation, in particular the use of machine learning and AI tools, and their
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leave schemes • Cycle and electric car loan schemes • Employee Assistance Programme • Membership to a variety of social and sports clubs • Discounted bus travel and Season
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research group that delivers Materials research of the highest international quality, creating impact from their research outputs though publication and technology transfer. They will teach, supervise and
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— but just as important is your willingness to learn and develop across these areas. Application process Queries about the post should be addressed to Karen Brill, Head of Strategic Planning and Projects
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observations, contribute to teaching at both undergraduate and graduate levels, and participate in departmental and college administration. On behalf of the College, the postholder will teach undergraduates
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research agenda. You will have the ability to teach, guide, and inspire students and colleagues at all levels and to attract funding and manage funded projects. You will have a proven record of academic
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, science) Bachelor’s degree (or equivalent) and be able to demonstrate substantial experience in data management. They will need to have demonstrated proficiency in computer programming (Python preferred
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). However, the content of the MFE, which has been developed for in-person teaching, needs to be adapted to the requirements of high-quality on-line learning. It is this adaptation which will form the bulk