199 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" Fellowship positions in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Leeds
- University of Birmingham
- University of Oxford
- UNIVERSITY OF SOUTHAMPTON
- University of Leeds;
- University of Nottingham
- UCL;
- CRANFIELD UNIVERSITY
- King's College London
- 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
- 46 more »
- « less
-
Field
-
laboratory scientists, computational biologists, and clinical academic colleagues, running computer simulations and testing predictions in the lab. About you You should be highly motivated, and ambitious
-
machine learning with rigorous statistical methods to address fundamental questions in cosmology and beyond. The research aims are to develop novel inference frameworks for cosmology and apply them
-
relentless focus on delivering high quality teaching and learning. We are a culturally rich university with strong commitment to the public good, providing a stimulating and inclusive environment where staff
-
• A comprehensive range of childcare services • Family leave schemes • Cycle and electric car loan schemes • Employee Assistance Programme • Membership to a variety of
-
of the Department. The research activities of the department fall under eight broad headings, though there is much overlap in practice: Information Engineering (Robotics, Computer Vision and Machine Learning
-
this information-gathering process. The successful applicant will have strong expertise in programming, and in particular developing AI-based computer vision methods. Ideally, they will have experience
-
holder must have: Expertise in advanced theoretical and computational electromagnetics, including high frequency asymptotics. Expertise in artificial intelligence and machine learning. Recent research
-
transformations. Combining automated reaction discovery simulations, microkinetic modelling, machine learning, and global optimization, this project will develop a new and exciting route to addressing one
-
will be advantageous. Knowledge of machine learning or reinforcement learning techniques will be advantageous. Proficiency in algorithm development using Python will be advantageous
-
computers”(under the UKRI Guarantee scheme). Topics include: - Quantum many-body dynamics - Quantum algorithms - Quantum-enhanced numerical methods - Quantum machine learning - Tensor Networks - Topological