371 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" positions at University of Oxford
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funded by the University and by NaturalMotion Ltd. NaturalMotion Ltd develops computational methods for animating movement, as used in Hollywood films and computer games. The founder, Torsten Reil, is an
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to adapt to meet the experimental demands of dynamic research environment by quickly learning new skills as required whilst maintaining a high level of attention to detail. Experience of creating
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well as companies and governmental organisations . They will contribute to the activities of the wider machine learning and data science research group and write up the results of their work, with co-authors
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-profile scientific projects. In this role, you will be required to manufacture high-precision components for experimental equipment using CNC and manual machine tools. You will also be involved in
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computational statistics, statistical machine learning, simulation and statistical programming). The postholders will join the dynamic and collaborative Department of Statistics. The Department carries out world
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computer programs (Outlook, Word, Excel) To demonstrate good communication skills (both oral and written) To possess inter-personal skills needed to relate to a wide range of people, particularly when
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machine learning methods is desirable. Application Process You will be required to upload a covering letter/supporting statement, CV and the details of two referees as part of your online application
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). This role will primarily support the Professor of Clinical Machine Learning, Professor David Clifton, as well as other academic members of the group. The position is permanent and full-time, although
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the ability to learn new software packages and working knowledge of MS office including Word and Excel. Experience of change management and setting up new procedures and processes. What We Offer: As an employer
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relations in space Sustainability and management of orbital space An engaged scholarship approach will be taken to the research, with the post holder involved in rigorous academic and industry collaborations