Sort by
Refine Your Search
-
Listed
-
Employer
- UNIVERSITY OF VIENNA
- University of Oxford
- AALTO UNIVERSITY
- University of Manchester
- Durham University
- University of Glasgow
- ;
- Imperial College London
- Lancaster University
- Leeds Beckett University;
- Queen Mary University of London
- Royal College of Art
- The University of Manchester;
- UNIVERSITY OF EAST LONDON
- University of Bath
- University of Cambridge;
- University of East London
- University of Liverpool
- University of London
- University of Oxford;
- University of West London
- 11 more »
- « less
-
Field
-
, Organometallic, Organic Chemistry and Machine Learning for a period of up to 24 months. The project, funded by EPSRC, will involve exploring the use of machine learning to develop new tools for investigating
-
(http://ori.ox.ac.uk/labs/goals/) within the Oxford Robotics Institute (ORI), as part of the EPSRC Programme Grant in Embodied Intelligence (https://embodiedintelligence.web.ox.ac.uk) and other follow
-
. machine learning, computer science, mathematics, statistics, physics, theoretical neuroscience or a closely related field) with significant post-qualification research experience. You will experience
-
development About You You will hold a Ph.D/D.Phil in a quantitative or theoretical discipline (e.g. machine learning, computer science, mathematics, statistics, physics, theoretical neuroscience or a closely
-
for further details. Closing for applications at 2pm on Wednesday 30 September 2026 Interviews are expected to take place on 12 October 2026 RCA Benefits available here: https://www.rca.ac.uk/more/work-at-the
-
hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Reference no.: 6142 Explore and teach at the University of Vienna, where over 7,500 brilliant minds have found a unique balance
-
, bioelectrical signalling and fibrotic cell-state transition. More information on the project can be found here: https://marcfernandezyague.com The successful candidate will conduct experiments at the Queen Mary
-
, or air pollutants. Our future research strategy also includes studies of the higher atmosphere. To learn more about our team, we invite you to visit our website: https://flexteam.univie.ac.at/ . To learn
-
. The applicants should have demonstrated the ability to teach competently and to publish internationally. The position requires fluent skill in English. Finnish and other language skills are considered a merit
-
machine learning and concurrent programming will be particularly desirable. You should have a PhD in experimental High Energy Physics and have the potential to be a leader in the field. Experience with