213 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S"-"U.S" Fellowship positions in United Kingdom
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- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Oxford
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- UNIVERSITY OF SOUTHAMPTON
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- CRANFIELD UNIVERSITY
- University of Leeds
- University of Nottingham
- UCL;
- The University of Southampton
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- King's College London;
- UNIVERSITY OF SURREY
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- Imperial College London
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- University of Oxford;
- University of Stirling;
- University of Surrey
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- University of the West of England
- Warwick Business School, The University of Warwick;
- Cardiff University;
- Durham University
- Falmouth University
- Imperial College London;
- KINGS COLLEGE LONDON
- London School of Economics and Political Science;
- London School of Hygiene & Tropical Medicine;
- Manchester Metropolitan University
- Nature Careers
- Oxford Brookes University
- Oxford Brookes University;
- QUEENS UNIVERSITY BELFAST
- Royal Holloway, University of London;
- The Francis Crick Institute;
- UWE, Bristol;
- Ulster University;
- University of Bath
- University of Birmingham;
- University of Bristol
- University of Cambridge
- University of Huddersfield;
- University of Liverpool
- University of Portsmouth;
- University of Sheffield
- University of Surrey;
- University of Sussex;
- York St John University
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Field
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of power and propulsion systems, heat and mass transfer, thermo-fluid systems simulation and programming, as well as exposure to software platforms and algorithms for Artificial Intelligence, Machine
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machine learning, spatial audio and audio-visual AI into groundbreaking creative technology. About you We seek a talented Research Fellow to investigate generative audio AI technology for production
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transfer, thermo-fluid systems simulation and programming, as well as exposure to software platforms and algorithms for Artificial Intelligence, Machine Learning and Data Analytics. You will have experience
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analysing qualitative data, synthesising findings, and supporting the preparation of reports, presentations, and academic publications. This role will be based at the Centre for Appearance Research (CAR
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Machine Learning (OxCSML) research group, with responsibility for leading and carrying out research pertinent to the project, as well as day-to-day management of research activities relevant to the project
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responsibilities will include: Explore innovative methods for food process optimization including the use of AI and machine-learning Develop and execute methods for characterizing and linking the texture and
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delivering high-quality teaching and learning, and research and innovation with a campus-wide focus on providing a sector-leading student experience. A culturally rich university with a palpable commitment to
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-minded institution with a relentless focus on delivering high-quality teaching and learning, and research and innovation with a campus-wide focus on providing a sector-leading student experience. A
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information/data from one structure can be used to manage similar structures from the same population. New machine learning, sensing and digital twin technologies will be developed with the aim of driving new
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Computer Science, Artificial Intelligence, Software Engineering, or a related field. Strong programming proficiency in Python and/or C++. Demonstrable experience with machine learning frameworks (e.g., PyTorch