Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; Swansea University
- ; The University of Manchester
- ; University of Birmingham
- University of Sheffield
- University of Cambridge
- ; University of Southampton
- ; University of Warwick
- ; Newcastle University
- ; University of Bristol
- ; University of Surrey
- ; Cranfield University
- ; University of Exeter
- ; City St George’s, University of London
- ; The University of Edinburgh
- ; University of Nottingham
- ; University of Reading
- ; University of Sheffield
- AALTO UNIVERSITY
- University of Newcastle
- ; Loughborough University
- Imperial College London
- ; Brunel University London
- ; University of Cambridge
- ; University of Oxford
- University of Manchester
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Manchester Metropolitan University
- ; University of East Anglia
- ; University of Greenwich
- ; University of Leeds
- ; University of Plymouth
- ; University of Strathclyde
- Abertay University
- Harper Adams University
- UNIVERSITY OF VIENNA
- University of Oxford
- ; Aston University
- ; Coventry University Group
- ; Durham University
- ; Imperial College London
- ; Lancaster University
- ; Royal Northern College of Music
- ; St George's, University of London
- ; UCL
- ; University of Bradford
- ; University of Stirling
- ; University of Sussex
- Aston University
- Durham University
- Heriot Watt University
- Newcastle University
- UNIVERSITY OF MELBOURNE
- University of Glasgow
- University of Liverpool
- 47 more »
- « less
-
Field
-
electroencephalography (EEG), behavioural tasks, and computational modelling, the student will examine how these interventions influence brain dynamics, cognition, and subjective experience.
-
skills include: Interest or background in composite materials, particularly in modelling and/or testing Basic understanding of finite element methods (FEM); any exposure to impact or burst mechanics is a
-
materials, particularly in modelling and/or testing Basic understanding of finite element methods (FEM); any exposure to impact or burst mechanics is a plus Familiarity with FE simulation tools such as ANSYS
-
, drug formulations, gastrointestinal disorders and cell models, is highly desired. Funding Comment This scholarship covers the full cost of tuition fees and an annual stipend at UKRI rate (currently
-
shift in the world of hardware design. On the one hand, the increasing complexity of deep-learning models demands computers faster and more powerful than ever before. On the other hand, the numerical
-
will also include evaluating and validating existing numerical models, ensuring their reliability in predicting real-world conditions. This project is supported by brand-new laboratory facilities
-
/settled students): Sunday 21 September 2025 at 23.59pm International students are advised to check requirements for student visas (including Immigration Health Surcharge - IHS) and Academic Technology
-
equations into AI-based models to solve fluid sensing problems in a robust and efficient manner. Your role may include developing new optimization techniques, coding new algorithms, creating new mathematical
-
-material capability with a suitable closure model; (2) improved strategy for interface tracking/capturing; (3) very high-speed scenarios with use of nonlinear Riemann-solvers. If time allows exploratory 3D
-
scientific evidence, methodology and data. Strong interpersonal, communication and organisational skills. Please note, a DBS check will form a condition of the offer. Personal qualities Strong work ethic with