356 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" PhD scholarships in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Employer
- University of Nottingham
- The University of Manchester
- Cranfield University
- Newcastle University
- University of Birmingham
- University of Warwick
- University of Birmingham;
- University of Exeter
- Loughborough University;
- UNIVERSITY OF VIENNA
- University of Sheffield
- Imperial College London
- University of Cambridge
- Swansea University
- University of Bristol
- University of East Anglia
- University of Strathclyde
- University of Surrey
- University of Exeter;
- University of Leeds
- University of Surrey;
- Manchester Metropolitan University;
- Northeastern University London
- UCL
- University of Cambridge;
- ;
- King's College London
- The Open University
- The University of Manchester;
- University College London
- University of East Anglia;
- University of Nottingham;
- University of Westminster;
- Lancaster University
- Manchester Metropolitan University
- Newcastle University;
- Oxford Brookes University;
- Royal College of Art
- Swansea University;
- The University of Edinburgh;
- UWE, Bristol;
- Ulster University
- University of Bradford;
- University of Liverpool
- University of Liverpool;
- University of Plymouth
- University of Strathclyde;
- University of Sussex
- University of Warwick;
- Abertay University
- Brunel University London;
- Cardiff University;
- City St George’s, University of London
- City St George’s, University of London;
- Edge Hill University
- Harper Adams University
- King's College London;
- Loughborough University
- Middlesex University;
- Midlands Graduate School Doctoral Training Partnership
- Oxford Brookes University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- The Open University;
- UCL;
- UWE, Bristol
- University of Essex
- University of Greenwich
- University of Hertfordshire
- University of Oxford
- University of Oxford;
- University of Plymouth;
- University of Sheffield;
- University of Strathclyde (UOS)
- University of Westminster
- University of York;
- jobs.ac.uk
- 66 more »
- « less
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Economics
- Chemistry
- Materials Science
- Biology
- Arts and Literature
- Mathematics
- Linguistics
- Electrical Engineering
- Humanities
- Psychology
- Science
- Business
- Education
- Law
- Physics
- Social Sciences
- Sports and Recreation
- Earth Sciences
- Philosophy
- 12 more »
- « less
-
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
-
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
-
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
-
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
-
following: Strong programming skills (preferably in Python), with experience in machine learning/AI or software engineering for interactive systems Desirable experience in game development or design using
-
habitat establishment on rock armour affects performance under UK-relevant conditions. You will then develop a predictive Machine Learning tool to support engineers in incorporating vegetated systems
-
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
-
geolocated social media data, and computational techniques from network science and machine learning. It is interdisciplinary, combining theories of healthy and accessible cities with computational data
-
: machine/deep learning, numerical modelling, statistics, optimisation, scientific computing • Ability to work across disciplines and collaborate with academic and industrial teams Desirable: • Experience in
-
foundation in either machine learning or mathematical/computational neuroscience, demonstrable programming experience (Python/PyTorch), and the curiosity to work across disciplinary boundaries. A background in