287 programming-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" Postdoctoral positions in United Kingdom
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Banking. Your skills and attributes for success: Expertise in one or more of the following areas: Machine Learning, Reinforcement Learning, or LLM orchestration. Strong programming skills in Python and
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specialist knowledge in mechatronics design and control, and proven programming experience in Python, MATLAB or C/C++. Informal enquiries may be addressed to Professor Liang He (email: liang.he@eng.ox.ac.uk
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or innovative solutions. To liaise with research colleagues and make internal and external contacts to develop knowledge and understanding to form relationships for future research collaboration. To plan and
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interdisciplinary research programme involves national and international collaborators. We are a vibrant, enthusiastic, innovative and strategic enterprise with an internationally leading position to make a real
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to develop knowledge and understanding to form relationships for future research collaboration. To plan and manage own research activity, research resources in collaboration with others and contribute
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and external contacts to develop knowledge and understanding to form relationships for future research collaboration. To plan and manage own research activity, research resources in collaboration with
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. Proficiency in the use of statistical programming languages and analysis of large datasets and strong publication records would be essential. Previous experience in atmospheric dynamics and predictability is
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PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods to analyse datasets Experience in statistical or scientific programming (ideally R and/or
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. Outstanding written and oral communication skills are essential, along with a proven ability to work effectively within multidisciplinary teams. The candidate must also show a capacity to plan and manage
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The Oxford Internet Institute has an exciting opportunity to join the Governance of Emerging Technologies research programme, working under the supervision of Professor Brent Mittelstadt and