427 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" scholarships in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- University of Nottingham
- The University of Manchester
- Cranfield University
- Newcastle University
- University of Birmingham
- University of Exeter
- University of Warwick
- University of Oxford
- University of Birmingham;
- Loughborough University;
- UNIVERSITY OF VIENNA
- University of Sheffield
- Imperial College London
- University of Cambridge
- Midlands Graduate School Doctoral Training Partnership
- University of Bristol
- University of Greenwich
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Swansea University
- University of East Anglia
- University of Nottingham;
- University of Strathclyde
- University of Surrey
- ;
- University of Exeter;
- University of Leeds
- University of Plymouth
- University of Surrey;
- King's College London
- Manchester Metropolitan University;
- Northeastern University London
- UCL
- University College London
- University of Cambridge;
- University of Manchester
- University of Oxford;
- Lancaster University
- The Open University
- The University of Manchester;
- University of East Anglia;
- University of Westminster;
- Manchester Metropolitan University
- Midlands Graduate School Doctoral Training Partnership;
- Newcastle University;
- Oxford Brookes University
- Oxford Brookes University;
- Royal College of Art
- Swansea University;
- UWE, Bristol;
- Ulster University
- University of Aberdeen;
- University of Bradford;
- University of Liverpool
- University of Liverpool;
- University of Strathclyde;
- University of Sussex
- University of Warwick;
- Abertay University
- Aston University
- Brunel University London
- Brunel University London;
- Cambridge, University of
- Cardiff University;
- City St George’s, University of London
- City St George’s, University of London;
- Coventry University Group;
- Durham University
- Edge Hill University
- Harper Adams University
- King's College London;
- Loughborough University
- Middlesex University;
- The Open University;
- The University of Edinburgh
- The University of Edinburgh;
- UCL;
- UWE, Bristol
- University of Bath
- University of Dundee;
- University of Essex
- University of Glasgow
- University of Glasgow;
- University of Hertfordshire
- University of Leeds;
- University of Leicester;
- University of Sheffield;
- University of Strathclyde (UOS)
- University of Westminster
- University of York;
- jobs.ac.uk
- 80 more »
- « less
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Economics
- Biology
- Chemistry
- Materials Science
- Mathematics
- Arts and Literature
- Science
- Humanities
- Linguistics
- Education
- Business
- Electrical Engineering
- Psychology
- Law
- Social Sciences
- Physics
- Sports and Recreation
- Design
- Earth Sciences
- Philosophy
- 13 more »
- « less
-
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
-
, 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
-
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
-
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
-
. 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
-
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
-
: Earth Sciences, Bioscience, Interdisciplinary Life and Environmental Science, Inorganic Materials for Advanced Manufacturing, Chemical Synthesis for a Healthy Planet,Statistics and Statistical Machine
-
machine-learning-based surrogate models to accelerate design and control workflows. This PhD studentship would suit candidates with backgrounds or interests in engineering, physics, applied mathematics