Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; University of Birmingham
- ; The University of Manchester
- ; Swansea University
- University of Cambridge
- Harper Adams University
- ; University of Nottingham
- ; The University of Edinburgh
- ; University of Reading
- Imperial College London
- ; University of Southampton
- ; University of Warwick
- University of Newcastle
- ; University of Leeds
- UNIVERSITY OF VIENNA
- University of Oxford
- ; Aston University
- ; City St George’s, University of London
- ; Cranfield University
- ; Edge Hill University
- ; King's College London
- ; University of Exeter
- Abertay University
- Heriot Watt University
- University of Liverpool
- ; Manchester Metropolitan University
- ; UWE, Bristol
- ; University of Bristol
- ; University of Cambridge
- ; University of Hertfordshire
- ; University of Sheffield
- ; University of Sussex
- THE HONG KONG POLYTECHNIC UNIVERSITY
- University of Sheffield
- ; Brunel University London
- ; Coventry University Group
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Lancaster University
- ; London South Bank University
- ; St George's, University of London
- ; University of Bradford
- ; University of East Anglia
- ; University of Greenwich
- ; University of Hull
- ; University of Oxford
- ; University of Plymouth
- ; University of Portsmouth
- ; University of Stirling
- ; University of West London
- Durham University
- KINGS COLLEGE LONDON
- University of East London
- Utrecht University
- 45 more »
- « less
-
Field
-
approach is a method that is both formally rigorous and practically efficient for the verification/validation of quantum devices. Candidate’s profile Knowledge of quantum computing and an understanding
-
for these architectures. This will also guide hardware design for such devices and tackle crucial challenges in networked systems and entanglement transmission. Candidate’s profile Knowledge of quantum computing and an
-
include simulation and control implementation, data analysis, and knowledge dissemination through technical documentation and stakeholder workshops. This is a full-time, fixed-term role starting 1 September
-
data, and apply these frameworks to population-scale datasets to generate new knowledge and insights about the impact of different air pollutants on child and adolescent health. This may include
-
Start date: November 2025 This PhD is an exciting opportunity to expand knowledge and understanding in the applications of natural chitinous polymers for bacterial/viral prevention and biofilm
-
knowledge on the technical and behavioural transformations triggered by AI across different project contexts. The project sits at the broad research area of AI and project management. It is interdisciplinary
-
The Digital Mental Health Group at the MRC Cognition and Brain Sciences Unit is an innovative and collaborative research group studying the intersection between adolescent mental health, cognitive
-
-based methods) Excellent writing and communication skills, with experience assisting writing publications for academic, public and stakeholder audiences Demonstrated interest and/or knowledge in social
-
academic background, successful candidates should have experience in one or more of the following: Experience of data-driven modelling and optimization-based analysis. Knowledge of fluid mechanics. Knowledge
-
to meet the following pre-requisites for their PhD: Demonstrate a sound knowledge of their research area; Achieve and demonstrate significant depth in at least a few chosen sub-areas relevant