Sort by
Refine Your Search
-
Listed
-
Employer
- University of Nottingham
- ;
- ; University of Nottingham
- ; Swansea University
- ; The University of Edinburgh
- Cranfield University
- ; Brunel University London
- ; City St George’s, University of London
- ; London South Bank University
- ; Loughborough University
- ; St George's, University of London
- ; The University of Manchester
- ; University of Warwick
- University of Newcastle
- 4 more »
- « less
-
Field
-
Deadline: 30 June 2025 A fully funded 3.5 year PhD position is available to work on the project titled “Scalable benchmarking for digital quantum computers based on blind testing”. This position is
-
The successful candidate will work in a highly interdisciplinary environment as part of a vibrant cohort of HDR UK-funded PhD students, with outstanding networking opportunities with fellow students
-
(including 7 full professors) and approximately 120 PhD students and post-doctoral research fellows. The group has excellent facilities for experimental work including approximately 2500m2 of research space
-
150 members, with 18 academics (including 7 full professors) and approximately 120 PhD students and post-doctoral research fellows. The group has excellent facilities for experimental work including
-
bottleneck in the screening process. This PhD project will address this through deep integration of scanning probe electrochemistry, optical microscopy and machine vision, to develop a system that can
-
/or modelling is essential. Experience in machine learning, computer vision, and computer programming is desirable. In addition, applicants should be highly motivated, able to work independently, as
-
effective interventions, while also expanding the methodological toolkit for integrating behavioural insights into simulation models. This work supports Scotland’s vision of value-based healthcare
-
conducts cutting edge research into enabling technologies for future aircraft applications. Vision We are seeking PhD student that is motivated to conduct research in electrical power system stability
-
conducts cutting edge research into discovering new materials for onboard ammonia cracking applications using computational and data approaches. Vision We are seeking PhD student that is motivated by zero
-
Engineering, Computer Science or related disciplines. Experience in autonomous system, manufacturing/robotics and machine vision development will be an advantage. To apply please contact the supervisor, Dr Kun