Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- Imperial College London;
- University of Manchester
- Loughborough University
- University of Nottingham
- Loughborough University;
- University of Exeter
- ;
- Harper Adams University
- University of Exeter;
- University of Sheffield
- University of East Anglia
- AALTO UNIVERSITY
- Coventry University Group;
- Edinburgh Napier University;
- Royal College of Art
- University of Birmingham
- University of Bristol
- University of Liverpool
- University of Oxford
- University of Sheffield;
- University of Surrey;
- University of Warwick
- University of Warwick;
- Cranfield University;
- European Magnetism Association EMA
- Oxford Brookes University
- Swansea University
- Swansea University;
- The University of Edinburgh
- The University of Manchester
- UCL
- UCL;
- University of Birmingham;
- University of East Anglia;
- University of Kent;
- University of Leeds
- University of Liverpool;
- University of Oxford;
- University of Surrey
- University of Sussex
- University of Sussex;
- 32 more »
- « less
-
Field
-
-term risk to society (WEF, 2025). The increasing advance of large language models (LLMs) has led to a rapid rise in LLM misuse by malicious actors, for the purposes of low-cost generation of fake news
-
to quickly quantify the damage to forest plantations after a cyclone or a tropical storm. There is unrealised potential in using multi-modal computer vision methods that synthesis multi-source Earth
-
(computer vision technologies). The interdisciplinary nature of this PhD will require the integration of environmental science, engineering, and community science methodologies. Supervisors: Primary
-
Environment and Climate Change Canada, the Canadian counterpart of the Met Office. The algorithms developed during the PhD will become part of SLEPc (the Scalable Library for Eigenvalue Problem Computations
-
strategic priorities in Digital Twins, Environmental Intelligence, and Data-Driven Engineering, using advanced computational modelling to support ecosystem resilience and sustainable management. The project’s
-
combining physical models, sensor data, computational methods, and damage and fracture mechanics concepts to create a virtual replica of the composite tank, enabling predictive maintenance, lifetime
-
unified artificial intelligence (AI) model capable of segmenting 3D medical images from standard clinical scans and generating 3D meshes across multiple imaging modalities. The project will also investigate
-
Fully Funded PhD Opportunity: AI for Early Detection of Mood Problems in University Students Applications are invited for a fully funded PhD (fees and stipend) to begin March 2026 at the University
-
a 300-word statement explaining your motivation for applying to this PhD Studentship to: Supervisor Review Form . Our supervisors will perform a comprehensive review to long-list candidates. Deadline
-
into breakthroughs. How to apply: Stage 1: Submit your 2-page curriculum vitae (CV), transcripts and 300-word statement explaining your motivation for applying to this PhD Studentship to: Supervisor Review Form