425 computer-"https:"-"https:"-"https:"-"https:"-"IFM" PhD positions in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Nottingham
- Newcastle University
- The University of Manchester
- Cranfield University
- University of Warwick
- Loughborough University;
- ;
- University of Birmingham
- University of Surrey
- University of Exeter
- Manchester Metropolitan University;
- University of Cambridge;
- University of East Anglia;
- University of Essex
- University of Oxford
- University of Sheffield
- King's College London;
- University of Cambridge
- University of Leeds
- Harper Adams University
- Imperial College London
- Newcastle University;
- Swansea University
- University of Surrey;
- Manchester Metropolitan University
- Northeastern University London
- The University of Manchester;
- University of Birmingham;
- University of Manchester
- UNIVERSITY OF VIENNA
- University of Essex;
- University of Exeter;
- University of Liverpool
- University of Newcastle
- University of Nottingham;
- University of Sussex;
- University of Warwick;
- City St George’s, University of London;
- Cranfield University;
- Durham University;
- Imperial College London;
- Loughborough University
- Oxford Brookes University;
- The University of Edinburgh;
- Ulster University
- University College London
- University of Bradford;
- University of Bristol
- University of East Anglia
- University of Lancashire
- University of Liverpool;
- University of Sussex
- University of Westminster;
- AALTO UNIVERSITY
- Aston University
- Birkbeck, University of London
- Cardiff University
- European Magnetism Association EMA
- Heriot-Watt University
- King's College London
- Lancaster University
- Lancaster University;
- Middlesex University;
- Midlands Graduate School Doctoral Training Partnership
- Nature Careers
- Queen Mary University of London;
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Swansea University;
- The Open University;
- UCL
- UCL;
- UWE, Bristol
- University of Bath;
- University of Derby;
- University of Dundee;
- University of Greenwich
- University of Hertfordshire
- University of Hertfordshire;
- University of Oxford;
- University of Plymouth
- University of Sheffield;
- University of Westminster
- University of York;
- jobs.ac.uk
- 74 more »
- « less
-
Field
- Computer Science
- Engineering
- Economics
- Medical Sciences
- Chemistry
- Materials Science
- Mathematics
- Arts and Literature
- Biology
- Humanities
- Business
- Psychology
- Linguistics
- Science
- Electrical Engineering
- Design
- Physics
- Earth Sciences
- Education
- Sports and Recreation
- Environment
- Law
- Social Sciences
- 13 more »
- « less
-
to obtaining their visa and to study on this programme. How To Apply Please read and complete this document as your Personal statement, and upload this with your application. Applications which do not include
-
the average values of the widths and spacings between two adjacent resonances. This energy range is called the “unresolved resonance region” (URR). Current computational methods treat the resonances in the URR
-
may require an ATAS (Academic Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme. How To Apply Please read and complete this document as
-
) clearance certificate prior to obtaining their visa and to study on this programme. How To Apply Please read and complete this document as your Personal statement, and upload this with your application
-
(or equivalent international qualification ) with a UK master's degree (with an average programme mark of no less than 65%) or international equivalent . Applicants must meet the minimum English language
-
numerical simulation is desirable. Experience with computational tools such as ANSYS Fluent, STAR-CCM+, or COMSOL Multiphysics would be advantageous. Good oral and written communication skills with
-
AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
intelligence, particularly in computer vision and deep learning, offer an opportunity to automate and enhance damage assessment by learning patterns from multimodal data. This research seeks to bridge the gap
-
, robotics, and machine learning. You will work within a multidisciplinary supervisory team spanning engineering, robotics, and computer science, and collaborate with researchers working on real-world
-
clinically meaningful explanations. Finally, the project will develop new evaluation frameworks to assess reasoning quality, robustness, computational efficiency, and real-world clinical usefulness, supporting
-
, this enables the development of more accurate computational models for various industrial processes. The experimental methods developed in this project will directly contribute to a better understanding of