383 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" PhD positions in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Nottingham
- The University of Manchester
- University of Birmingham
- Cranfield University
- Newcastle University
- University of Warwick
- University of Exeter
- University of Birmingham;
- University of Cambridge
- University of Sheffield
- Imperial College London
- Loughborough University;
- University of Strathclyde
- UNIVERSITY OF VIENNA
- University of Cambridge;
- University of East Anglia
- University of Plymouth
- University of Surrey
- University of Bristol
- University of Nottingham;
- University of Surrey;
- ;
- King's College London
- Manchester Metropolitan University;
- Newcastle University;
- Northeastern University London
- Swansea University
- UCL
- University of Exeter;
- The University of Manchester;
- University of East Anglia;
- University of Leeds
- University of Newcastle
- University of Oxford
- Abertay University
- King's College London;
- Manchester Metropolitan University
- Oxford Brookes University
- Royal College of Art
- Swansea University;
- The Open University
- The University of Edinburgh;
- UWE, Bristol;
- University College London
- University of Bradford;
- University of Liverpool
- University of Liverpool;
- University of Sussex
- University of Warwick;
- University of Westminster;
- AALTO UNIVERSITY
- Brunel University
- Brunel University London
- Brunel University London;
- Cardiff University
- Cardiff University;
- City St George’s, University of London
- De Montfort University;
- Edge Hill University
- Harper Adams University
- Imperial College London;
- Lancaster University
- London School of Economics and Political Science;
- Middlesex University;
- Midlands Graduate School Doctoral Training Partnership
- Nagoya Institute of Technology
- Oxford Brookes University;
- RMIT UNIVERSITY
- The Open University;
- The University of Edinburgh
- UCL;
- UNIVERSITY OF MELBOURNE
- UWE, Bristol
- Ulster University
- University of Bath;
- University of Bristol;
- University of Essex
- University of Essex;
- University of Greenwich
- University of Hertfordshire
- University of Lincoln
- University of Oxford;
- University of Sheffield;
- University of Strathclyde;
- University of Westminster
- University of York;
- 76 more »
- « less
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Economics
- Biology
- Materials Science
- Chemistry
- Mathematics
- Arts and Literature
- Humanities
- Electrical Engineering
- Psychology
- Linguistics
- Physics
- Science
- Business
- Earth Sciences
- Law
- Sports and Recreation
- Education
- Philosophy
- Social Sciences
- 12 more »
- « less
-
framework integrating physics-informed machine learning, scenario generation, and human-in-the-loop preference-based reinforcement learning to prioritise climate-robust and equity-aligned interventions
-
programming (e.g., Python/C++), machine learning frameworks, or robotics software environments such as ROS. You are motivated to work in a multi-disciplinary research environment combining engineering, AI, and
-
training programme at the start of the PhD to develop skills in areas such as programming, data analysis, machine learning and signal processing. This will provide the technical foundation required to work
-
modelling and oomph-lib for continuum mechanics simulations, enabling the integration of discrete and finite element methods. Coupled with machine learning techniques, this approach will address the complex
-
industries like pharmaceuticals, food processing, and construction, the project may also incorporate machine learning methods for model calibration and optimisation, driving more sustainable material handling
-
for operational decision‑making, interactive design, or control‑in‑the‑loop visualisation. Machine‑learning surrogates offer speed, yet purely data‑driven models often extrapolate poorly and may violate physical
-
expertise in programming (C++, Python), computer architectures and Deep Learning (PyTorch, TensorFlow). Exceptional international candidates may be eligible for a fee waiver (read the following section
-
network integration for emerging low-energy opto-electronic AI systems and beyond. The challenge: Machine learning and neural networks are super-charging the complexity of problems that computer algorithms
-
machine learning (ML) and artificial intelligence (AI) workflows, the project aims to create a comprehensive molecular atlas and identify novel, translational biomarkers and therapeutic targets. Project
-
bespoke methods – including advanced data modelling approaches (e.g., machine learning, digital twin models) and AI techniques where appropriate – to provide novel solutions that enable sports to make