418 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Ulster University" 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 Warwick
- University of Birmingham;
- University of Exeter
- University of Oxford
- University of Sheffield
- Imperial College London
- Loughborough University;
- University of Cambridge
- ;
- Midlands Graduate School Doctoral Training Partnership
- UNIVERSITY OF VIENNA
- University of Bristol
- University of Exeter;
- University of Greenwich
- Swansea University
- University of East Anglia
- University of Nottingham;
- University of Strathclyde
- University of Surrey
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Surrey;
- King's College London
- Manchester Metropolitan University;
- Northeastern University London
- The University of Manchester;
- UCL
- University College London
- University of Cambridge;
- University of Leeds
- University of Manchester
- University of Oxford;
- Lancaster University
- Newcastle University;
- The Open University
- University of East Anglia;
- University of Plymouth
- Manchester Metropolitan University
- Midlands Graduate School Doctoral Training Partnership;
- Oxford Brookes University
- Oxford Brookes University;
- Royal College of Art
- UWE, Bristol;
- Ulster University
- University of Aberdeen;
- University of Bradford;
- University of Liverpool
- University of Liverpool;
- University of Plymouth;
- University of Strathclyde;
- University of Sussex
- University of Warwick;
- University of Westminster;
- Abertay University
- Aston University
- Brunel University London
- Brunel University London;
- Cambridge, University of
- Cardiff University;
- 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;
- Swansea 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 Leicester;
- University of Sheffield;
- University of Strathclyde (UOS)
- University of Westminster
- University of York;
- 78 more »
- « less
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Economics
- Biology
- Chemistry
- Materials Science
- Mathematics
- Arts and Literature
- Humanities
- Linguistics
- Science
- Business
- Education
- Electrical Engineering
- Psychology
- Law
- Social Sciences
- Physics
- Sports and Recreation
- Design
- Earth Sciences
- Philosophy
- 13 more »
- « less
-
, 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
-
. 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
-
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
-
: machine/deep learning, numerical modelling, statistics, optimisation, scientific computing • Ability to work across disciplines and collaborate with academic and industrial teams Desirable: • Experience in
-
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
-
: 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
-
-driven AI models that capture the underlying process–structure–property relationships governing metal additive manufacturing. By combining mechanistic modelling, in-situ sensing, and machine learning
-
. State-of-the-art digital models and AI tools that incorporate machine learning could enable predictions of the dry fibre forming that are subsequently used as input into the RTM process model. The EngD
-
Provide human experts with a reliable second opinion This project integrates image processing, data analytics, machine learning, and computational modelling, with applications in aerospace, mechanical