Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- University of Oxford
- AALTO UNIVERSITY
- Durham University
- University of London
- KINGS COLLEGE LONDON
- University of Cambridge
- Heriot Watt University
- King's College London
- University of Glasgow
- Aston University
- Manchester Metropolitan University
- Nature Careers
- University of Liverpool
- Loughborough University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- UNIVERSITY OF VIENNA
- University of Sheffield
- ; King's College London
- ; University of Copenhagen
- ; University of Reading
- Birmingham City University
- Cardiff University
- City University London
- DURHAM UNIVERSITY
- John Innes Centre
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Royal College of Art
- St George's University of London
- University of Bath
- University of Reading
- 21 more »
- « less
-
Field
-
About the Role This Postdoctoral Research Associate position is an exciting opportunity to join the Centre for Advanced Robotics at Queen Mary (ARQ) within the School of Engineering and Materials
-
We are seeking to appoint a full-time Postdoctoral Research Assistant in Wearable Technologies for Sport Medicine to work within The Podium Institute for Sports Medicine and Technology at
-
optimisation of deposition processes. The Surface Engineering lab is co-located with the Manchester Fuel Cell Innovation Centre and is home to electrochemists, materials scientists and engineers who use state
-
The Role Applications are invited for a Postdoctoral Research Associate position in the Department of Engineering, with a focus on digital twin modelling for marine engines and propulsion systems
-
robotics, mechanical engineering or a similar engineering field. The job requires an in-depth knowledge about soft inflatable/eversion robotics, sensor data acquisition and processing, computer and system
-
insights into the disrupted biological processes underlying cancer. This project is initially funded until March 2027 and is part of a collaborative initiative supported by the Oxford Cancer Centre
-
at scale. About You Applicants should preferably have an MSc/PhD in Computer Science/Engineering. They should have expertise in distributed systems and computer networks. Excellent knowledge and practical
-
of interest in this area include, but are not limited to: natural language processing, large language models, graph learning, general pre-trained transformers, prompt engineering, knowledge graphs, knowledge
-
insights into the disrupted biological processes underlying cancer. This project is initially funded until March 2027 and is part of a collaborative initiative supported by the Oxford Cancer Centre
-
diabetes; genetics; infection and immunology; imaging and biomedical engineering; transplantation immunology; pharmaceutical science; physiology and women's health. We also have thriving research programmes