201 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" Fellowship positions in United Kingdom
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- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Leeds
- University of Birmingham
- University of Oxford
- UNIVERSITY OF SOUTHAMPTON
- University of Leeds;
- University of Nottingham
- King's College London
- UCL;
- CRANFIELD UNIVERSITY
- The University of Southampton
- Cranfield University;
- UNIVERSITY OF MELBOURNE
- De Montfort University;
- Queen's University Belfast;
- UNIVERSITY OF SURREY
- University of Exeter;
- University of Hertfordshire;
- University of London
- Imperial College London
- King's College London;
- University of Cambridge
- University of Oxford;
- University of Stirling;
- University of Warwick;
- University of the West of England
- Warwick Business School, The University of Warwick;
- Cardiff University;
- Cranfield University
- Durham University
- Falmouth University
- Imperial College London;
- KINGS COLLEGE LONDON
- London School of Hygiene & Tropical Medicine;
- Manchester Metropolitan University
- Nature Careers
- Nottingham Trent University
- 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 Brighton
- University of Bristol
- University of Huddersfield;
- University of Liverpool
- University of Portsmouth;
- University of Sheffield
- University of Surrey
- University of Surrey;
- University of Sussex;
- York St John University
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, software engineering, Embedded Systems, Artificial Intelligence / Machine Learning, data science, or closely related disciplines or significant practical/industrial experience. Significant postdoctoral
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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
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application of innovative Machine Learning (ML) frameworks to understand and predict the global hydrological cycle. The role will require bridging the gap between process-based physical modeling and scalable
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’. The role-holder will work closely with medicinal chemists at University of Oxford and pharmacologists at University of Glasgow, applying virtual screening, machine learning, AI-driven generative chemistry
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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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should have: PhD in computer science, software engineering, Embedded Systems, Artificial Intelligence / Machine Learning, data science, or closely related disciplines or significant practical/industrial
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. To learn more about the Institute for Health and Care Improvement, please visit: yorksj.ac.uk/ihci We offer a range of family friendly and inclusive policies and facilities and welcome applications from
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets
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basic experience in machine learning or computer vision libraries; familiarity with Vision-Language Models (e.g., CLIP, BLIP) or scene-graph inference is a plus. Key Competencies Strong software
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We are looking for a researcher, whose expertise lies in machine learning or uncertainty quantification, to work with Professor Richard Wilkinson on an EPSRC-funded project entitled “Scaling Cardiac