Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- University of Birmingham
- KINGS COLLEGE LONDON
- King's College London
- UNIVERSITY OF SOUTHAMPTON
- ; Technical University of Denmark
- City University London
- Nature Careers
- QUEENS UNIVERSITY BELFAST
- Queen's University Belfast
- The University of Southampton
- University of Leeds
- University of Nottingham
- 3 more »
- « less
-
Field
-
Reality for Learning in Context – Movement and memory go together. How can we leverage movement over and through our environment to build new skills – like 2nd language acquisition - to thrive better
-
. Computational modelling approaches are frequently used alongside experimental research programmes and much of our research crosses traditional boundaries, including the relationship of biodiversity to the health
-
’) with responsibility for the day-to-day project, budget and research activities. You will also undertake research including developing and fine-tuning large language models and topic modelling methods
-
the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
-
the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
-
. in Computer Science, Machine Learning, Computational Linguistics, Artificial Intelligence or a related field High level analytical capability Ability to communicate complex information clearly Fluency
-
Weekly Working Hours: 37 Fixed Term Contract: End Date: 2 years from start date Welsh Language: Not Applicable Job Description: Flexible working We are open to discussions about flexible working
-
Audition for Robots (ActivATOR)” under the direction of Dr Christine Evers. The position will be in the Vision, Learning and Control (VLC) Group, which is part of the School of Electronics and Computer
-
the Medical Research Council. The Research Fellow will be using Natural Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of
-
the results of this project. Candidates must possess a good first Degree (or Master's) and PhD (or near competition) in Engineering, Mathematics, Physics, Computer Science, or related disciplines. Your working