380 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Ulster University" PhD positions in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Nottingham
- The University of Manchester
- Cranfield University
- Newcastle University
- University of Birmingham
- University of Exeter
- University of Warwick
- University of Birmingham;
- Imperial College London
- University of Cambridge
- University of Sheffield
- Loughborough University;
- UNIVERSITY OF VIENNA
- University of Bristol
- University of Strathclyde
- Swansea University
- University of Cambridge;
- University of East Anglia
- University of Surrey
- King's College London
- University of Nottingham;
- University of Plymouth
- University of Surrey;
- ;
- Manchester Metropolitan University;
- Northeastern University London
- UCL
- University of Exeter;
- University of Leeds
- The Open University
- The University of Manchester;
- University College London
- University of East Anglia;
- University of Newcastle
- University of Oxford
- Lancaster University
- Manchester Metropolitan University
- Newcastle University;
- Oxford Brookes University
- Oxford Brookes University;
- Royal College of Art
- The University of Edinburgh
- UWE, Bristol;
- Ulster University
- University of Bradford;
- University of Liverpool
- University of Liverpool;
- University of Strathclyde;
- University of Sussex
- University of Warwick;
- University of Westminster;
- AALTO UNIVERSITY
- Abertay University
- Brunel University
- Brunel University London
- Brunel University London;
- Cardiff University
- Cardiff University;
- City St George’s, University of London
- Edge Hill University
- Harper Adams University
- Imperial College London;
- King's College London;
- London School of Economics and Political Science;
- Loughborough University
- Middlesex University;
- Midlands Graduate School Doctoral Training Partnership
- Swansea University;
- The Open University;
- The University of Edinburgh;
- UCL;
- UNIVERSITY OF MELBOURNE
- UWE, Bristol
- University of Bath;
- University of Essex
- University of Essex;
- University of Greenwich
- University of Hertfordshire
- University of Oxford;
- University of Sheffield;
- University of Strathclyde (UOS)
- University of Westminster
- University of York;
- 73 more »
- « less
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Economics
- Biology
- Chemistry
- Materials Science
- Mathematics
- Arts and Literature
- Humanities
- Electrical Engineering
- Linguistics
- Psychology
- Business
- Science
- Physics
- Law
- Social Sciences
- Sports and Recreation
- Earth Sciences
- Education
- Philosophy
- 12 more »
- « less
-
CFD, thermofluids and machine learning. Experience in Python (or another language), machine learning frameworks, or CFD tools such as OpenFOAM is beneficial but not required. Applicants should hold (or
-
within the climate change domain. The techniques are based on statistical and computational approaches, including machine learning algorithms. The project aims first to contribute to the prevention of fake
-
, 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
-
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
-
of lightweight, logic-based machine learning approaches. In addition, agents must support collective decision-making to achieve system-wide optimisation rather than isolated, local improvements. Finally
-
diagnosis and prognosis technologies, and, consequently, improve maintenance decision making. Currently, machine learning exists as the most promising technologies of big data analytics in industrial problems
-
, adaptive control strategies, and hybrid energy storage solutions to address key challenges in self-powered systems under dynamic environmental conditions by: Develop machine learning or heuristic-based
-
, 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
-
strategy Equity and other asset classes Financial econometrics and machine learning. Corporate finance and accounting Corporate governance and shareholder value Corporate finance, networks and insider
-
and architectures that support efficient, secure, and scalable machine learning operations (MLOps) across resource-constrained environments for Edge AI. Ethical, and responsible FL for healthcare: In