371 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" positions at University of Oxford
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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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). 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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initiative to find solutions to problems, or to progress key tasks. They will have an excellent standard of computer-literacy, and will have the ability to handle numerical data with confidence and accuracy
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collaborate with other technical groups working on the design. The successful candidate will also have opportunity to conduct experiments and machine development activities on the existing accelerators. The key
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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 Ticket travel loans How to apply: Please
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Administration or RSA Diploma) and/or work experience at a similar level. They should also have the ability to use standard computer programs (Outlook, Word, Excel), alongside good attention to detail and an
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of the Department. The research activities of the department fall under eight broad headings, though there is much overlap in practice: Information Engineering (Robotics, Computer Vision and Machine Learning
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• A comprehensive range of childcare services • Family leave schemes • Cycle and electric car loan schemes • Employee Assistance Programme • Membership to a variety of
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About the role The Department of Education is seeking to appoint Associate Professor in Chinese Language Education. The post-holder will lecture and teach graduate students on the professional
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will join the dynamic and collaborative Department of Statistics. The Department carries out world-leading research in computational statistics, machine learning, theoretical statistics, and probability