Sort by
Refine Your Search
-
Category
-
Employer
- University of Warwick;
- University of Exeter
- University of Cambridge;
- University of East Anglia
- University of Oxford
- University of Warwick
- Durham University
- Manchester Metropolitan University
- University of Cambridge
- University of Sussex
- King's College London
- King's College London;
- London School of Economics and Political Science;
- Manchester Metropolitan University;
- Newcastle University
- Newcastle University;
- Northeastern University London
- Oxford Brookes University
- The Rosalind Franklin Institute
- University of Bath
- University of Birmingham
- University of Salford
- University of Surrey
- 13 more »
- « less
-
Field
-
PhD Studentship: Robust, Certified, and Scalable Federated Machine Unlearning for Privacy-Preserving AI About the Project As federated learning systems become increasingly embedded in high‑stakes
-
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. This exciting PhD combines big data and
-
healthy despite being at high genetic risk of dementia? This project will use cutting-edge genetic and molecular data from large human biobanks to identify molecular factors that help protect against
-
information-theoretic security even against quantum-capable adversaries, making it one of the most mature and commercially relevant applications of quantum communication. However, current QKD links are limited
-
from animal hosts (are ‘zoonotic’), yet it is hard to predict which pathogen species are likely to cross into human populations and why. This project will combine AI Large Language Models, extracting
-
therapies emerge and precision medicine become increasingly achievable, understanding this heterogeneity is critical. This PhD will use large-scale routinely-collected healthcare data and cutting-edge
-
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
-
Northeastern University London Fully Funded PhD Scholarship in Computer Science Reliable Quantum Statistics Northeastern University London > Computing, Mathematics, Engineering & Natural Sciences
-
developing the first observation-driven, AI-ready global river data infrastructure. Reporting to Professor Louise Slater, you will lead research combining large-scale Earth observation data, global hydrography
-
chemically active drop. These microscopic drops use chemical energy from an ambient fuel to swim and explore their surroundings. Their appeal lies in their ability to be manufactured in large numbers via