384 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" positions at University of Oxford
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archaeology and forms part of the Gardens, Libraries and Museums Division. Open to everyone and located at the heart of Oxford, the Museum supports research, learning and public engagement while caring
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to conduct internationally excellent research in the area of comparative politics, with a particular focus on the comparative politics of Africa. They will also teach and supervise at the graduate and
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to work independently. Training will be provided. NDCN encourages staff to explore the University’s Work Learn Develop programme of funded professional training and development opportunities
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at the University of Oxford as an Environmental Sustainability Engagement Apprentice, and earn while you learn in a globally renowned institution. Location: The Malthouse, Tidmarsh Lane, Oxford, OX1 1NQ Salary
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of our existing and new programmes. You will also shape learning designs from concept discussions and managing end-to-end project delivery to ensure timely progress and completion. About you You are
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to sustainability initiatives and community-building efforts. We hold a passion for continued, life-long learning and look to support staff in their continued career development We offer all catering staff
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initiatives and community-building efforts. We hold a passion for continued, life-long learning and look to support staff in their continued career development We offer all catering staff an annualised hours
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with and teach a range of professionals including doctors, lawyers, and university graduates Excellent research skills in practical ethics An outstanding research record appropriate to the present stage
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clearly with stakeholders • Organisation and administrative skills • Competent using a range of computer-based and online applications • Able to organise own workload and work
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. They will have experience working with bioacoustic and camera trap data and be familiar with deep learning methods, with a proven track record of training and applying audio signal classifiers. The successful