Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oxford
- KINGS COLLEGE LONDON
- UNIVERSITY OF VIENNA
- ;
- Durham University
- King's College London
- University of Cambridge
- AALTO UNIVERSITY
- DURHAM UNIVERSITY
- Manchester Metropolitan University
- Heriot Watt University
- University of Oxford;
- Imperial College London
- Nature Careers
- Swansea University
- University of London
- University of Birmingham
- University of Glasgow
- ; Royal Holloway, University of London
- ; University of Cambridge
- ; University of Copenhagen
- Cardiff University
- City University London
- Heriot-Watt University;
- Medical Research Council
- University of Cambridge;
- University of Essex;
- University of West London
- 18 more »
- « less
-
Field
-
both the algorithms for robot co-design, and the real-world evaluation of the designs that emerge, as well as providing your own research contributions. Your specific role will vary depending on project
-
The Role Applications are invited for a Postdoctoral Research Associate in Computer Science with a particular emphasis on structural and algorithmic graph theory. The purpose of the role is to
-
, 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
-
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
-
strengths in laboratory-based enquiry using molecular genetics, metagenomics, biochemistry, cell biology, bioinformatics and structural biology, with rich clinical resources in microbiology, virology
-
the Complete University Guide, and 6th in both The Times and Sunday Times Good University Guide 2025 and The Guardian University Guide 2025, and is consistently listed among the world’s top 100 universities
-
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
-
Engineering or a related field. In this role, the selected candidate will be responsible for designing, developing, and optimising algorithms for processing and analysing signals in real-time applications
-
About us: We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with
-
analysed by bespoke machine-learning driven algorithms, combined with physical models, to de-noise images, identify features and correlate properties, giving critical insights into power loss pathways