Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- ;
- University of Oxford
- KINGS COLLEGE LONDON
- University of Birmingham
- Imperial College London
- UNIVERSITY OF SOUTHAMPTON
- AALTO UNIVERSITY
- University of Bristol
- Durham University
- King's College London
- Heriot Watt University
- University of Cambridge
- University of Nottingham
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Swansea University
- The University of Southampton
- University of Sheffield
- University of Surrey
- ; King's College London
- ; University of Kent
- City University London
- DURHAM UNIVERSITY
- Glyndwr University
- Kingston University
- Nature Careers
- Oxford Brookes University
- UNIVERSITY OF GREENWICH
- UNIVERSITY OF SURREY
- UNIVERSITY OF VIENNA
- University of Glasgow
- University of Greenwich
- University of Stirling
- 22 more »
- « less
-
Field
-
aims to develop formal frameworks and algorithms for eliciting, aggregating, and analysing stakeholder preferences over risk and safety in AI systems. The Research Assistant will support the development
-
computational social choice, and aims to develop formal frameworks and algorithms for eliciting, aggregating, and analysing stakeholder preferences over risk and safety in AI systems. The Research Assistant will
-
and evaluation. The post holder will take a leading role in advancing theoretical and algorithmic research in the domain of probabilistic preference aggregation, contribute to the design and analysis
-
work alongside renowned academics and researchers in ENU’s School of Computing, Engineering and the Built Environment. If you are someone with expertise in multimodal speech processing and AI algorithms
-
highly motivated researcher to develop artificial intelligence based novel algorithms and computational workflows to predict the impact of mutations on genes in the avian flu virus and the viral host which
-
binding pockets. About the role We are seeking a highly motivated researcher to develop artificial intelligence based novel algorithms and computational workflows to identify domain functional families
-
, including: Robot Learning: Creating algorithms that empower robots to learn autonomously from interactions and adjust to new tasks. Manipulation: Enhancing techniques for precise and adaptable object handling
-
. The scope of the research will encompass aspects such as network monitoring, routing algorithms and network-hardware benchmarking. About you You should possess a MSc/MEng in Engineering, Computer
-
to numerical simulation algorithms? Then apply now to join our team of theoretical researchers in the Quantum Information and Quantum Many-Body Physics research group. Your personal sphere of play: As a
-
areas, and be able to creatively combine disciplines to make new research advances in fluid mechanics. You will be creating data-driven algorithms which can solve state estimation problems in fluid