Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Oxford
- KINGS COLLEGE LONDON
- ;
- Durham University
- DURHAM UNIVERSITY
- UNIVERSITY OF VIENNA
- AALTO UNIVERSITY
- Heriot Watt University
- King's College London
- University of Cambridge
- University of Oxford;
- University of London
- University of Liverpool
- The University of Edinburgh;
- Aston University
- Nature Careers
- Imperial College London
- Manchester Metropolitan University
- ; University of Cambridge
- King's College London;
- Swansea University
- University of Liverpool;
- Durham University;
- Heriot-Watt University;
- John Innes Centre
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Northumbria University;
- UNIVERSITY OF READING
- University of Exeter;
- University of Glasgow
- University of Glasgow;
- University of Manchester
- University of Reading
- University of York;
- ; University of Copenhagen
- Aston University;
- Birmingham City University
- CZECH UNIVERSITY OF LIFE SCIENCES
- Harper Adams University;
- Imperial College London;
- Lancaster University
- Medical Research Council
- NORTHUMBRIA UNIVERSITY
- Nottingham Trent University
- Oxford Brookes University
- Oxford Brookes University;
- Royal College of Art;
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Technical University of Denmark
- The Royal Veterinary College, University of London;
- UCL;
- University of Bath
- University of Birmingham
- University of Cambridge;
- University of Durham
- University of Exeter
- University of Hull
- University of Leeds
- University of Leicester
- University of Nottingham
- University of Sheffield
- University of West London
- Université de Haute-Alsace
- 53 more »
- « less
-
Field
-
explores novel aggregation methods at the intersection of AI safety, computational social choice, and judgment aggregation, aiming to formally integrate multi-stakeholder preferences into AI system design
-
work closely with lab members but with a focus on EV-associated fungal proteins. They will assist in protocol and technique development and use reverse genetics for functional analysis of EV candidates
-
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
-
reverse genetics for functional analysis of EV candidates. This project will require a strong molecular biology background, knowledge in AI-based protein structural prediction, in vitro expression systems
-
, 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
-
international initiatives. To be considered, you must hold, or be close to completion of, a relevant PhD/DPhil in one of the following subjects: computational genomics, genetic or molecular epidemiology, medical
-
the study of problems in quantum many-body physics through the lens of quantum information and quantum computing? Do you enjoy analyzing complex quantum mechanical systems through a combination of
-
candidate will work at the intersection of multi-disciplinary modelling, advanced AI algorithms, and decision-support tool development for various hydrogen technologies-based energy systems. Responsibilities
-
United Kingdom Application Deadline 23 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
-
Location: Centre for Human Genetics, Building for Genomic Medicine, Old Road Campus, Roosevelt Drive, Headington, Oxford, OX3 7BN Salary: Research Grade 7: salary in range £38,674 - £43,171 per