Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- University of East Anglia
- University of Nottingham
- Imperial College London;
- The University of Manchester;
- Loughborough University
- The University of Edinburgh;
- The University of Manchester
- University of Cambridge;
- KINGS COLLEGE LONDON
- Newcastle University
- Newcastle University;
- UNIVERSITY OF VIENNA
- University of Birmingham;
- University of Bristol
- University of Cambridge
- University of Newcastle
- University of Oxford;
- University of Surrey
- University of Warwick
- ;
- ; The University of Edinburgh
- ; University of Exeter
- Edinburgh Napier University;
- European Magnetism Association EMA
- Harper Adams University
- Imperial College London
- King's College London
- King's College London Department of Engineering
- Loughborough University;
- Oxford Brookes University
- The Medicines And Healthcare Products Regulatory Agency;
- The University of Edinburgh
- University of Birmingham
- University of East Anglia;
- University of Exeter
- University of Exeter;
- University of Glasgow
- University of Leeds
- University of Warwick;
- 30 more »
- « less
-
Field
-
-critical systems. The research will focus on developing AI-powered verification tools, health monitoring algorithms, and compliance assurance techniques that ensure system reliability throughout
-
interact without full trust in a centralized party. This research project aims to develop cryptographic solutions and frameworks that secure AI systems, particularly in decentralized and distributed settings
-
associated with genome dominance. Transposable element distribution and activity will also be analysed using long-read sequencing. This project is primarily computational and offers comprehensive
-
biodiversity while protecting wheat from one of the greatest biotic threats to production, the wheat rusts. The individual will: (i) visit Bhutan to characterise the spatial distribution and species composition
-
. translocations) affect the distribution, and thus impact, of such mutations within endangered populations is limited. Addressing these knowledge gaps is important for realising the potential of genomic data in
-
the Centre aims to develop a deeper understanding of life, its emergence, and its distribution in the Universe by addressing four questions: What are the chemical pathways which led to the origins of life
-
memorisation capabilities of deep learning models. Such vulnerabilities expose FL systems to various privacy attacks, making the study of privacy in distributed settings increasingly complex and vital
-
. An optimisation tool has been developed that uses a genetic algorithm to optimise the location of BGI taking surface water flood risk reduction and the cost of different interventions into consideration. This PhD
-
abort (or not engage) if the bright white lines that fit a defined and rigid expectation are not clearly visible. These systems use algorithms, rather than AI machine learning, to detect road markings and
-
. The residual elements inherited from steel scrap such as Cu, Cr, Ni, Zn, Sn, and Pb, along with alloying elements from the OBMs like V and Mn (which depends on the iron ore sources) will be distributed between