208 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" PhD positions in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Nottingham
- Cranfield University
- Newcastle University
- The University of Manchester
- Manchester Metropolitan University;
- University of Warwick
- Loughborough University;
- University of Surrey
- Manchester Metropolitan University
- University of Exeter
- UNIVERSITY OF VIENNA
- ;
- Swansea University
- University of East Anglia
- University of Sheffield
- Northeastern University London
- Swansea University;
- The University of Edinburgh
- University of Birmingham
- University of Cambridge;
- University of East Anglia;
- University of Reading;
- Imperial College London
- Newcastle University;
- Oxford Brookes University;
- The University of Manchester;
- UWE, Bristol;
- Ulster University
- University of Bradford;
- University of Bristol
- University of Cambridge
- University of Exeter;
- University of Leeds
- University of Nottingham;
- University of Oxford
- University of Surrey;
- Cardiff University;
- City St George’s, University of London;
- King's College London
- King's College London;
- Lancaster University
- Middlesex University;
- Midlands Graduate School Doctoral Training Partnership
- Nottingham Trent University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- The Open University
- The University of Edinburgh;
- UCL
- UCL;
- UWE, Bristol
- University of Bath;
- University of Birmingham;
- University of Essex
- University of Hull
- University of Liverpool
- University of Oxford;
- University of Sussex;
- University of Warwick;
- University of Westminster
- University of Westminster;
- University of York;
- jobs.ac.uk
- 52 more »
- « less
-
Field
-
experts at University Hospitals Coventry & Warwickshire/NHS Trust. The research will involve emulating laparoscopic surgical tasks using a robotic platform under varying network conditions. Machine learning
-
into the sample of interest. Recently we have been using AI and machine learning to predict the distortion present and significantly speed up this correction process. This PhD project will take the latest in AI
-
science and applications. This project aims to develop the required formalism using modern probabilistic and machine-learning approaches, reformulating the problem in terms of conditional probabilities
-
: This 4 year fully funded studentship is open to applicants with a first-class or upper second-class degree (or equivalent) in Electrical Engineering, Machine Learning, Physics, Data Analytics or other
-
this challenge head on by combining quantum-mechanical calculations with state-of-the-art machine learning (ML) methodologies to explore and optimise the compositional space of complex high-entropy metal oxides
-
feedback using machine learning and control engineering methods. The project will be hosted at the Bristol Robotics Laboratory (BRL), the UK’s largest academic centre for robotics research, with access
-
, or other related academic discipline. Good programming skills (preferably Python). Background/work experience in Cyber Security, Machine Learning, and Finance would be highly beneficial. How to apply
-
, particularly MRI, medical physics or computational data analysis (Python/R/MATLAB, machine learning, or bioinformatics) is highly desirable. Interested candidates should send a CV to michael.chappell
-
integrating machine learning, computational modelling, and experimental validation. The successful candidate will receive training in both computational and experimental biology within a highly collaborative
-
. Strategies will centre on improved formulations of the mixed-integer constraints, as well as the use of machine learning to accelerate conventional solution algorithms (e.g. branch and bound). The second goal