207 machine-learning-"https:"-"https:"-"https:"-"https:"-"RAEGE-Az" Fellowship positions in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Employer
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Oxford
- University of Birmingham
- UNIVERSITY OF SOUTHAMPTON
- University of Leeds;
- University of Leeds
- University of Nottingham
- CRANFIELD UNIVERSITY
- King's College London
- The University of Southampton
- UCL;
- Cranfield University;
- UNIVERSITY OF MELBOURNE
- De Montfort University;
- King's College London;
- Queen's University Belfast;
- University of Exeter;
- University of Hertfordshire;
- University of London
- Cranfield University
- Imperial College London
- Nottingham Trent University
- UNIVERSITY OF SURREY
- University of Oxford;
- University of Stirling;
- University of Warwick;
- 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 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 Brighton
- University of Bristol
- University of Cambridge
- 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
- 46 more »
- « less
-
Field
-
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
-
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
-
-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
-
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
-
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
-
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
-
, computer vision, and predictive modelling, alongside excellent IT, analytical, interpersonal and communication skills in spoken and written English. You must be able to collect, process and present data with
-
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
-
, software engineering, Embedded Systems, Artificial Intelligence / Machine Learning, data science, or closely related disciplines or significant practical/industrial experience. Significant postdoctoral
-
’. 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