Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- Newcastle University
- University of Nottingham
- University of Sheffield
- The University of Manchester
- University of Birmingham;
- University of East Anglia
- Loughborough University
- University of Birmingham
- University of East Anglia;
- University of Cambridge
- AALTO UNIVERSITY
- University of Newcastle
- ;
- ; University of Exeter
- ; University of Surrey
- KINGS COLLEGE LONDON
- Loughborough University;
- The University of Edinburgh
- The University of Manchester;
- University of Bristol
- University of Cambridge;
- University of Exeter
- ; Swansea University
- ; University of Southampton
- Durham University;
- The Institute of Cancer Research
- University of Glasgow
- University of Leeds
- University of Nottingham;
- University of Oxford
- University of Sheffield;
- University of Surrey
- University of Warwick;
- ; City St George’s, University of London
- ; Coventry University Group
- ; Imperial College London
- ; Loughborough University
- ; The University of Edinburgh
- ; The University of Manchester
- ; University of Plymouth
- Abertay University
- Bangor University
- Brunel University London
- Coventry University Group;
- Harper Adams University
- Imperial College London
- King's College London
- King's College London Department of Engineering
- Manchester Metropolitan University
- Manchester Metropolitan University;
- NORTHUMBRIA UNIVERSITY
- Newcastle University;
- Oxford Brookes University
- Queen Mary University of London
- The University of Edinburgh;
- UCL
- UNIVERSITY OF VIENNA
- University of Glasgow;
- University of Greenwich
- University of Liverpool
- University of London
- University of Strathclyde;
- University of Surrey;
- University of Sussex;
- University of Warwick
- 56 more »
- « less
-
Field
-
the Ven Te Chow Hydrosystems Laboratory at UIUC, using 3D-printed riverbed models derived from field data. Finally, insights from experiments will be incorporated into cutting edge flood models to enable
-
challenges which experimentalists must consider – computer simulations of molten salts are therefore a very valuable guide to efficient experimentation. Molten salts have been well-studied using classical
-
by detecting and predicting threats such as pests, diseases, and environmental stress in line with the UK Plant Biosecurity Strategy. The project harnesses computer vision, deep learning, and large
-
PhD journey with: Full coverage of PhD programme fees £20,780 annual tax-free maintenance grant Higher education teacher training and practice A £700 per year research allowance available from Year 2
-
. The following skills are highly desirable but not essential: Ability to program in Matlab/Python Experience with Finite Element Analysis and Reduce Order Modelling Experience in Rapid Prototyping and CAD Design
-
evolve under and after mining. These observations will be complemented by physical experiments in the Ven Te Chow Hydrosystems Laboratory at UIUC, using 3D-printed riverbed models derived from field data
-
sensing (e.g., PlanetScope, Sentinel-1), advanced numerical modelling (HEC-RAS, Delft-FM), and targeted field surveys to map mining intensity, simulate channel adjustment, and assess changing flood hazards
-
through the EU Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description About the Project This PhD project in fire
-
analysis will focus on building sophisticated Deep Learning models, e.g., Long Short-Term Memory (LSTM) networks, to accurately model DPs over time and predict mood deterioration. The project will implement
-
, please contact Dr Isabella Guido once deadline passes. You will need to meet the minimum entry requirements for our PhD programme . We are seeking a highly motivated and skilled candidate with a