628 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oxford
- ;
- UNIVERSITY OF VIENNA
- KINGS COLLEGE LONDON
- Durham University
- University of London
- University of Cambridge
- King's College London
- University of Liverpool
- AALTO UNIVERSITY
- DURHAM UNIVERSITY
- Heriot Watt University
- Manchester Metropolitan University
- Nature Careers
- University of Oxford;
- Aston University
- Imperial College London
- University of Birmingham
- University of Nottingham
- ; University of Cambridge
- Medical Research Council
- ; University of Copenhagen
- Cardiff University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Oxford Brookes University
- Queen Mary University of London
- Royal College of Art
- Swansea University
- University of Bath
- University of Glasgow
- University of Manchester
- University of Sheffield
- ; Royal Holloway, University of London
- ; Technical University of Denmark
- ; University of Exeter
- ; University of Oxford
- Birmingham City University
- City University London
- Heriot-Watt University;
- King's College London;
- Lancaster University
- Liverpool School of Tropical Medicine;
- Nanyang Technological University
- Nottingham Trent University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Sheffield Hallam University
- St George's University of London
- The Royal Veterinary College, University of London;
- University of Cambridge;
- University of Hull
- University of Leicester
- University of Lincoln
- University of Liverpool;
- University of Newcastle
- University of Reading
- University of West London
- 46 more »
- « less
-
Field
- Computer Science
- Biology
- Medical Sciences
- Chemistry
- Economics
- Materials Science
- Humanities
- Mathematics
- Psychology
- Engineering
- Linguistics
- Science
- Arts and Literature
- Law
- Earth Sciences
- Social Sciences
- Environment
- Physics
- Business
- Education
- Philosophy
- Sports and Recreation
- Electrical Engineering
- 13 more »
- « less
-
. publish internationally and give lectures. apply for projects and raise third-party funds. teach courses in the master's programme "Philosophy and Economics" (within the scope of the provisions
-
Full-time: 35 hours per week Fixed-term: 31st March 2026 The School of Informatics at the University of Edinburgh invites applications for 2 Post-doctoral Researcher positions in Quantum Machine
-
of Developmental Neurobiology and King’s College London. Brain Health in Gen2020 is a joint preclinical and clinical research programme that aims to map the fetal origins of childhood brain health and the impact of
-
bioinformatic workflows. Familiarity with biomedical ontologies and text mining on Electronic Health Records and biomedical literature Knowledge of machine learning / deep learning with an interest in
-
Full time: 25 Hours per week Fixed term: 12 months We are looking for a candidate to join the University of Edinburgh to conduct research on Machine Learning, Reinforcement Learning, or LLM
-
ERC-funded postdoctoral fellow in theoretical developmental biology, using tools from applied mathematics, biophysics, and machine learning A talented and creative researcher is sought to take part
-
research into planet formation/protoplanetary discs or the ISM/star formation and may also have some experience in statistical methods and/or machine learning. Dr Winter and QMUL are committed to improving
-
-quality robotics research in the areas of robot grasping and manipulation, kinematics and mechanisms, sensing, and human-robot interaction. Within CORE, SAIR focuses on multimodal machine learning for human
-
-quality robotics research in the areas of robot grasping and manipulation, kinematics and mechanisms, sensing, and human-robot interaction. Within CORE, SAIR focuses on multimodal machine learning for human
-
to artificial intelligence (AI) (e.g. computer science, engineering, Statistics, and mathematics etc.) The post is available for 30 months, starting on 1 September 2025. If you are still awaiting your PhD to be