Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- Newcastle University
- University of Nottingham
- University of Exeter
- University of Birmingham
- Swansea University
- University of East Anglia
- ;
- University of Exeter;
- The University of Manchester;
- UCL
- University of East Anglia;
- University of Warwick;
- University of Bristol
- University of Glasgow
- University of Sheffield
- University of Surrey
- University of Warwick
- Imperial College London;
- KINGS COLLEGE LONDON
- Loughborough University
- Loughborough University;
- The University of Manchester
- University of Birmingham;
- University of Cambridge;
- University of Oxford
- University of Plymouth
- Abertay University
- Bangor University
- Brunel University London
- Cranfield University;
- Durham University;
- Edinburgh Napier University;
- King's College London
- Manchester Metropolitan University;
- NORTHUMBRIA UNIVERSITY
- Nature Careers
- Royal College of Art;
- Swansea University;
- The Institute of Cancer Research
- The University of Edinburgh
- The University of Edinburgh;
- UNIVERSITY OF VIENNA
- UWE, Bristol;
- University of Bradford;
- University of Cambridge
- University of Glasgow;
- University of Hertfordshire
- University of Hull;
- University of Leeds;
- University of Liverpool
- University of Newcastle
- University of Plymouth;
- 43 more »
- « less
-
Field
-
the UK Atomic Energy Authority (UKAEA). The student will be based at the University of Nottingham, but should expect to engage fully with the 3-month full-time training programme in the Fusion Engineering
-
to develop principled models and algorithms for distributed decision-making in complex and uncertain environments. Your research The candidate will develop a novel hierarchical control framework
-
The project: Electromagnetic (EM) sensing is on the brink of a step-change. Once limited by computation and data-processing power, EM sensing is now being transformed by advances in high-performance
-
value. Yet these trade-offs remain poorly quantified in complex urban landscapes. This PhD will investigate how urban blue networks can be optimised for both ecological resilience and community wellbeing
-
. As part of the design and build phases of fusion reactors such as the STEP (Spherical Tokamak for Energy Production) programme, one of the major challenges is to develop manufacturing techniques
-
research. Entry Requirements This studentship is open to UK nationals, with an expected start date of October 2026. Applicants must meet the standard entry requirements for the Psychology PhD programme
-
habitat fragmentation. Working at the forefront of ecological modelling and movement ecology, you will build next-generation, process-based models to predict how real populations respond to complex
-
. The studentship is funded by the Leverhulme Trust through the Connected Waters Leverhulme Doctoral Programme. Urban blue networks, including rivers, canals and wetlands, are dynamic systems that shape how cities
-
predictive performance, computational efficiency, and spatial resolution through algorithm optimisation, tuning, and refined covariates. Assess trade-offs between spatial resolution and other performance
-
in mucociliary function. Regulation of post-translational modifications is complex and can involve a range of mechanisms e.g. fucosyltransferases catalyse the attachment of fucose to glycan chains and