Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oxford
- ;
- Durham University
- KINGS COLLEGE LONDON
- University of Cambridge
- University of London
- UNIVERSITY OF VIENNA
- AALTO UNIVERSITY
- DURHAM UNIVERSITY
- King's College London
- Heriot Watt University
- University of Liverpool
- Aston University
- University of Glasgow
- Nature Careers
- ; University of Cambridge
- Imperial College London
- University of Birmingham
- Manchester Metropolitan University
- ; Technical University of Denmark
- ; The University of Edinburgh
- City University London
- Swansea University
- University of Lincoln
- ; CRUK Scotland Institute
- ; King's College London
- ; Royal Holloway, University of London
- ; Swansea University
- ; University of Bristol
- ; University of Oxford
- ; Xi'an Jiaotong - Liverpool University
- Birmingham City University
- Lancaster University
- Liverpool John Moores University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Nottingham Trent University
- Royal College of Art
- University of Bath
- University of Bristol
- University of Hull
- University of Nottingham
- University of West London
- 32 more »
- « less
-
Field
-
the performance of lithium ion technologies. To support the programme, the post holder will be required to carry out research on characterisation of battery degradation, with a particular focus on the application
-
methods suitable for legged systems in physically-realistic simulated environments and on real robots. You should hold or be close to completion of a PhD/DPhil in robotics, computer science, machine
-
research initiative funded by ARIA, titled Aggregating Safety Preferences for AI Systems: A Social Choice Approach. The project operates at the interface of AI safety and computational social choice, and
-
the Department of Engineering Science at the University of Oxford. The post is funded by the Oxford Martin Programme on Circular Battery Economies. It is fixed term up to December 2027. You will undertake
-
Full time: 25 Hours per week Fixed term: 12 months We are looking for a candidate to join the University of Edinburgh to conduct research on Machine Learning, Reinforcement Learning, or LLM orchestration, with applications to Finance. This post is advertised as full-time (35 hours per week). We...
-
Contract: 36 months, full time An exciting opportunity has arisen for a Postdoctoral Researcher to join the Howard Group, working on cutting-edge science in the field of Computational and Systems
-
in wide-bandgap solids are an example, where the deterministic interaction between emitted photons and electronic and nuclear spins enables photon mediated entanglement for distributed quantum networks
-
bioinformatics/computer science will be essential. Prior experience with connectomics data is highly desirable. Our group has developed an international reputation in this area and our tools have now been used in
-
on Experimental Study and Computational Solids Mechanics model of soft multifunctional materials such as magneto-active polymers (MAPs), Electro-active polymers (EAPs). The successful candidate will work on the
-
learning, at the intersection of reinforcement learning, deep learning and computer vision, in order to train effective robotic agents in simulation. You should hold a relevant PhD/DPhil (or near completion