Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Exeter
- University of Nottingham
- The University of Manchester
- Newcastle University
- University of Birmingham
- University of Warwick;
- University of Warwick
- University of East Anglia
- University of Cambridge;
- University of Surrey
- Manchester Metropolitan University
- UNIVERSITY OF VIENNA
- Harper Adams University
- Manchester Metropolitan University;
- Newcastle University;
- Swansea University
- University of Essex;
- University of Liverpool
- University of Manchester
- Durham University
- Imperial College London
- Oxford Brookes University
- University of Cambridge
- University of Oxford
- University of Plymouth
- University of Sussex
- ;
- AALTO UNIVERSITY
- King's College London;
- Royal Holloway, University of London
- University of Bedfordshire
- University of Newcastle
- University of Plymouth;
- City St George's, University of London (Tooting);
- City St George’s, University of London
- Cranfield University
- European Research University
- King's College London
- Northeastern University London
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- The Rosalind Franklin Institute
- The University of Edinburgh
- The University of Edinburgh;
- The University of Manchester;
- UCL
- UWE, Bristol
- UWE, Bristol;
- University of Birmingham;
- University of Bristol
- University of Dundee;
- University of East Anglia;
- University of Exeter;
- University of Salford
- University of Sheffield;
- University of Strathclyde
- 45 more »
- « less
-
Field
-
applications in both conventional and renewable offshore energy. Objectives To reduce computational time during the training process, a linear solution based on potential flow theory is used as the training
-
embedded into cyber‑physical systems (CPS) such as autonomous vehicles, smart grids, industrial control systems, robotics, healthcare devices, and intelligent transport infrastructure. While significant
-
Candidate 51 Faculty of Physics Startdate: 15.10.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 14.10.2029 Reference no.: 6207 Are you fascinated
-
PhD Studentship: Efficient Long-Horizon Task Execution in Physical AI (deep learning, computer vision, robotics) Number of awards: 1 Award information: Fully funded PhD studentship covering Home
-
performance (10–50 Hz) on hardware with constrained memory, power and compute. The project will investigate training, adapting and deploying compact Physical AI models efficiently. Work may cover vision
-
Some of the biggest open questions in modern physics concern the limits of the Standard Model and General Relativity. The nature of dark matter and dark energy remains unknown, and many theories
-
Intelligence and Robotics, Healthcare Technologies, and many more topics across Engineering, Mathematics, and Physical Sciences. Why choose UCL? UCL has a long history of academic excellence and is consistently
-
computing? Do you enjoy studying complex quantum mechanical systems both from a physical and a mathematical perspective? Are you an innovative and productive team player who enjoys being part of
-
administration and organisation. We are looking for a/an University assistant predoctoral/PhD Candidate 51 Faculty of Physics Startdate: 01.10.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr
-
Phd Studentship in Computer Science: Empirical Security Assessment of AI Decision Engines in Cyber-Physical Systems Award Summary 100% home fees covered, and a minimum tax-free annual living