Sort by
Refine Your Search
-
Employer
- King's College London
- University of Oxford
- Heriot Watt University
- Durham University
- Imperial College London
- Queen Mary University of London
- UNIVERSITY OF VIENNA
- University of London
- University of Liverpool
- AALTO UNIVERSITY
- Aarhus University
- Aston University
- Bournemouth University;
- Lund University
- Oxford Brookes University
- Plymouth University
- Queen Mary University of London;
- The Rosalind Franklin Institute
- University of Dundee
- University of Glasgow
- University of Newcastle
- University of Oxford;
- 12 more »
- « less
-
Field
-
program. Through this work, you will build scientific independence, develop new science and leadership skills, and establish a growing reputation externally. Your role will be to lead a research project
-
the European Union's Horizon Europe research and innovation program (Grant Agreement No. 101164099). The project is led by Assist.-Prof. Dr. Isabella Anderson-Wagner. The Wagner Lab is an interdisciplinary
-
unseen conditions without or with limited training samples, in order to tackle data sparsity issues. Applicants should have the equivalent of a PhD degree from Computer Science with research expertise in
-
candidate will join a five-year EPSRC Programme Grant project called “Electrical Composites” (EleComp) that involves eleven academics from Imperial College London, University of Bristol and Durham University
-
students and the teaching activities of the research group. Your network and team Currently, our research group consists of 1 professor, 1 lecturer, 1 staff scientist, 2 postdocs and 5 PhD students, and
-
and Musculoskeletal Sciences (NDORMS) is part of the Medical Sciences Division and is the largest European academic department in its field, running a globally competitive programme of research and
-
-second class degree in Engineering, Mathematics, Computer Science or Physics. 2. A PhD (or be close to submission) in any of the above fields, or equivalent professional experience in a similar field
-
Job Purpose To make a contribution to an ERC-funded project Dynamic network reconstruction of human perceptual and reward learning via multimodal data fusion, working with Prof. Marios Philiastides