Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- ; Newcastle University
- ; The University of Manchester
- University of Cambridge
- Cranfield University
- University of Nottingham
- ; University of Sheffield
- ; Swansea University
- ; University of Nottingham
- ; University of Reading
- Newcastle University
- ; Cranfield University
- ; University of Birmingham
- ; University of Exeter
- ; University of Leeds
- ; University of Warwick
- AALTO UNIVERSITY
- University of Liverpool
- University of Newcastle
- ; Manchester Metropolitan University
- ; University of Bristol
- ; University of Oxford
- ; University of Surrey
- University of Oxford
- ; Aston University
- ; Imperial College London
- ; Lancaster University
- ; Midlands Graduate School Doctoral Training Partnership
- ; Queen's University Belfast
- ; The University of Edinburgh
- ; University of Cambridge
- ; University of East Anglia
- ; University of Essex
- ; University of Plymouth
- ; University of Portsmouth
- ; University of Southampton
- Imperial College London
- KINGS COLLEGE LONDON
- King's College London
- THE HONG KONG POLYTECHNIC UNIVERSITY
- UNIVERSITY OF VIENNA
- University of Sheffield
- 32 more »
- « less
-
Field
-
of the supervisory team will share code and provide support where needed. Feasibility: Objectives for this project are well defined and the student will have the flexibility to tackle the objectives that align most
-
'Type of Study', ‘Full Time’ in ‘Mode of Study’, ‘2025’ in ‘Year of Entry’, code ‘8370F’ in ‘Course Title’, blank in ‘Research Area’. Press ‘Search’, select ‘PhD Population Health Sciences (FT)’, and
-
modelling of NCLs within industry employs System Codes, which rely heavily on empirical and scale-dependent correlations obtained via experimentation. Unsteady Reynolds-averaged Navier-Stokes (URANS
-
’ to identify your programme of study: Search for the ‘Course Title’ using the programme code: 8856F. Leave the ‘Research Area’ field blank Select ‘PhD in Process Industries; Net Zero (PINZ’) as the
-
analytical frameworks grounded in Mean Field Game (MFG) theory and Multi-Agent Reinforcement Learning (MARL), which are tailored for eCPS. These frameworks will facilitate the creation of effective control
-
diagnostics, epidemiology, medical statistics, behavioural science, modelling, qualitative research and the wider application of social science theory and methods to address practical and theoretical challenges
-
, gathering and coding morphological and geospatial data. You will be encouraged to collaborate in writing the publication arising from this work. Student profile: The applicant must be meticulous, enthusiastic
-
the collaborative interaction of the student and the supervisors who will actively participate in all stages of the project. Input data and training for the use of the code and global sensitivity analysis techniques
-
upper second-class honours degree (or equivalent) in Engineering, Physics, or Applied Mathematics. Experience in coding and CFD is advantageous but not mandatory—an eagerness to learn and innovate is key
-
‘Create a Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: Search for the ‘Course Title’ using the programme code: 8209F Select ‘PhD Water Infrastructure & Resilience