Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- The University of Manchester
- University of Exeter
- University of Warwick;
- Newcastle University
- University of Cambridge;
- University of Birmingham
- University of East Anglia
- Manchester Metropolitan University
- University of Nottingham
- University of Warwick
- Durham University
- University of Sheffield
- King's College London;
- Manchester Metropolitan University;
- University of Bedfordshire
- University of Cambridge
- University of Oxford
- University of Plymouth
- University of Surrey
- ;
- City St George’s, University of London
- King's College London
- LIVERPOOL JOHN MOORES UNIVERSITY
- London School of Economics and Political Science;
- Newcastle University;
- Northeastern University London
- Oxford Brookes University
- The Rosalind Franklin Institute
- The University of Manchester;
- University of Bath;
- University of Birmingham;
- University of Bristol
- University of East Anglia;
- University of Exeter;
- University of Salford
- University of Sheffield;
- University of Sussex
- 27 more »
- « less
-
Field
-
missing and incomplete symptom data can introduce bias and worsen existing inequalities. This PhD will develop innovative statistical and machine learning approaches to understand, model, and overcome
-
departments of this type in the country, with a particular strength in power engineering. The increasing use of liquid cooling in aerospace electrical machines introduces direct interaction between liquid
-
Linguistics; Willingness to learn the technical aspects of the computational methodology (but no prior expertise needed). How to apply Applications should be submitted via the Linguistics PhD programme page. In
-
industry and academia together to drive pre-competitive, fundamental research in polymers. We welcome applicants with interests in polymer physics, materials processing and characterisation, machine learning
-
join the internationally recognised EnDROIDS programme (https://endroids.ico2s.org ) and become part of a highly interdisciplinary team of computer scientists, molecular biologists, DNA nanotechnologists
-
developed mouse models and human tissue processing pipelines. The candidate will learn and use cutting edge immunological methods (high parameter flow cytometry, multiplex imaging, single cell and spatial
-
property testing. Cryptography, zero-knowledge proofs, and probabilistically checkable proofs. Locally testable and locally decodable codes. Computational learning theory. Structure-versus-randomness and
-
to players’ needs in real time. The successful candidate will work with an interdisciplinary supervisory team, benefiting from expertise in adaptive systems, accessibility and human-computer interaction, and
-
knowledge graph from scientific papers and cognitive test questionnaire data, and second, to integrate the graph with transformer-based large language models and causal learning. This offers an explainable
-
for place with the projects across the MRC GW4 BioMed3 Doctoral Landscape Award studentships. There are a total of 18 studentships available across the partnership. How do neurons instruct astrocytes