345 machine-learning "https:" "https:" "https:" "https:" "https:" "U.S" PhD scholarships in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Employer
- University of Nottingham
- The University of Manchester
- Cranfield University
- University of Birmingham
- Newcastle University
- University of Warwick
- University of Exeter
- University of Birmingham;
- Imperial College London
- Loughborough University;
- University of Cambridge
- University of Sheffield
- UNIVERSITY OF VIENNA
- University of Bristol
- University of East Anglia
- University of Strathclyde
- University of Surrey
- Swansea University
- University of Nottingham;
- University of Plymouth
- University of Surrey;
- ;
- King's College London
- Manchester Metropolitan University;
- Northeastern University London
- UCL
- University of Cambridge;
- University of Exeter;
- The University of Manchester;
- University College London
- University of East Anglia;
- University of Leeds
- Lancaster University
- Manchester Metropolitan University
- Newcastle University;
- Oxford Brookes University
- Royal College of Art
- The Open University
- UWE, Bristol;
- University of Bradford;
- University of Liverpool
- University of Liverpool;
- University of Sussex
- University of Warwick;
- University of Westminster;
- Abertay University
- Brunel University London;
- Cardiff University;
- 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;
- Swansea University;
- The Open University;
- The University of Edinburgh
- The University of Edinburgh;
- UCL;
- UWE, Bristol
- Ulster University
- University of Essex
- University of Greenwich
- University of Hertfordshire
- University of Oxford
- University of Oxford;
- University of Sheffield;
- University of Strathclyde;
- University of Westminster
- University of York;
- 62 more »
- « less
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Economics
- Biology
- Chemistry
- Materials Science
- Mathematics
- Arts and Literature
- Humanities
- Electrical Engineering
- Psychology
- Business
- Linguistics
- Science
- Law
- Physics
- Sports and Recreation
- Earth Sciences
- Education
- Philosophy
- Social Sciences
- 12 more »
- « less
-
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
-
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
-
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
-
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
-
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
-
, or research assistant job) - Solid experience in machine learning and AI (essential) - Experience with imaging data analysis - A collaborative approach to doing science and willingness to help other lab members
-
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
-
. You will then develop a predictive Machine Learning tool to support engineers in incorporating vegetated systems into design stage decision making. Finally, you will apply Life Cycle Analysis