Sort by
Refine Your Search
-
Category
-
Employer
- University of Warwick;
- University of Birmingham
- University of East Anglia
- The University of Manchester
- Newcastle University
- University of Exeter
- King's College London;
- The University of Manchester;
- University of Bedfordshire
- University of Cambridge;
- University of Warwick
- Durham University
- Harper Adams University
- Imperial College London;
- King's College London
- Manchester Metropolitan University
- Manchester Metropolitan University;
- Newcastle University;
- The Rosalind Franklin Institute
- University of Birmingham;
- University of Bristol
- University of Cambridge
- University of Exeter;
- University of Liverpool
- University of Oxford
- University of Plymouth
- University of Sheffield;
- University of Sussex
- 18 more »
- « less
-
Field
-
complex interactions between geology, fluid flow and water–rock reactions. Changes in pressure, temperature and fluid chemistry during production and reinjection can promote mineral dissolution and
-
/halim-group/ The immune system is capable of detecting cancer, which forms the basis of immunotherapy. While immunotherapy has revolutionised cancer treatment in recent years, it remains unclear how
-
Start date: February 2027 King’s College London’s Leverhulme Centre for Research on Slavery in War is pleased to announce the availability of a fully funded doctoral studentship from February 2027
-
This 3.5-year PhD project is fully funded; students who are eligible to pay tuition fees at the Home rate are eligible to apply. The successful candidate will receive an annual tax-free stipend set
-
develop AI tools for the interrogation of subcellular proteomics data. We are interested to hear from candidates with experience in probabilistic or statistical modelling of complex biological data, such as
-
for channel estimation, beamforming, and real-time network optimisation. The goal is to enable adaptive 6G systems with improved reliability, energy efficiency, coverage, and resilience in complex and dynamic
-
of vision systems and AI techniques for perception, decision-making, and control, enabling robots to operate reliably in complex agricultural environments. The research will involve design, experimentation
-
physics-informed neural networks (PINNs). However, these approaches are still in their early stages of development and have yet to demonstrate their effectiveness for complex real engineering problems
-
to build and characterise these DNA devices. The project will also explore optimisation methods to improve reliability, scalability, and performance in complex nucleic-acid-based systems. The student will
-
slip rings, and simplified gearbox systems compared to high-speed generators. These features offer significant advantages, including lower capital and operational costs, increased reliability, and