93 structures "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" scholarships in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- University of Birmingham
- University of Birmingham;
- University of Exeter
- Swansea University
- Newcastle University
- The University of Manchester;
- University of Cambridge
- ;
- University of Exeter;
- University of Nottingham
- Cranfield University
- Loughborough University
- The Institute of Cancer Research
- The University of Edinburgh
- University of Bristol
- University of Bristol;
- University of Cambridge;
- University of East Anglia
- University of Essex
- University of Warwick
- Imperial College London;
- King's College London Department of Engineering
- Lancaster University
- Loughborough University;
- Queen's University Belfast
- The University of Edinburgh;
- The University of Manchester
- UCL
- University of Derby
- University of East Anglia;
- University of Essex;
- University of Leeds
- University of London
- University of Oxford
- University of Oxford;
- University of Strathclyde (UOS)
- 26 more »
- « less
-
Field
-
Modelling (WCPM) . Find out more about the research group at https://koczorbenda.wordpress.com/ Requirements and eligibility: Applicants must have, or be predicted to obtain, a good degree (2.1 or 1st class
-
. This PhD project will investigate how biofouling affects the hydrodynamic, thermal and fluid-structure interaction performance of dynamic flexible cables and develop novel engineering solutions to enhance
-
datasets from Kepler, TESS, and PLATO to reassess trends in exoplanet occurrence, structure, and evolution. Methods and Tools The project will involve: • Bayesian inference (hierarchical models, posterior
-
, the construction of the geological model remains a significant challenge. The geological model is key because it constrains the volumes and data used when inferring the mineral resources, which in turn inform
-
methods including biomarker assessment using blood, urine, saliva, and hair samples, structural and functional neuroimaging, and questionnaire and behavioural assessments. The project will bring a unique
-
contribute significantly to these growing fields. This PhD position is ideal for candidates interested in the following areas of machine learning: Geometric learning: exploiting the structure of data (e.g
-
, the UK Parliament, and various media outlets including the BBC, and its members have earned numerous international awards. Learn more at https://pinholab.cc.ic.ac.uk . Your goal: Develop advanced numerical
-
: Full Time Closes: 7 January2026, 23:59 GMT Application link: https://www.essex.ac.uk/postgraduate/research/doctoral-training-partnerships/aries ARIES (Advanced Research and Innovation in
-
to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
-
to relatively impermeable lacustrine clays and glacial tills. Flooded mines create unexpected routes to the surface for groundwater, with the nature and structure of the superficial deposits influencing water