Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Newcastle University
- Cranfield University
- University of Birmingham
- University of Nottingham
- University of East Anglia
- University of Newcastle
- AALTO UNIVERSITY
- Loughborough University
- ;
- ; University of Exeter
- KINGS COLLEGE LONDON
- King's College London
- University of Birmingham;
- University of Cambridge;
- University of East Anglia;
- University of Glasgow
- University of Warwick;
- ; Loughborough University
- ; Swansea University
- ; University of Nottingham
- ; University of Plymouth
- Cranfield University;
- Edinburgh Napier University
- Hartpury University and College;
- Heriot Watt University
- Heriot-Watt University;
- Loughborough University;
- Newcastle University;
- The University of Manchester;
- UNIVERSITY OF VIENNA
- UWE, Bristol
- University of Cambridge
- University of Essex
- University of Exeter;
- University of Glasgow;
- University of Hertfordshire
- University of Nottingham;
- University of Oxford
- University of Sheffield
- University of Warwick
- 30 more »
- « less
-
Field
-
upper second-class degree in Chemistry, Biochemistry, microbiology or a relevant natural sciences-related subject. Good analytical, problem-solving and MS Excel skills. Ability to work collaboratively and
-
collaborative project that spans multiple continents. You will contribute to the development of new chronobiological analytics on existing data, design experiments to collect novel chronobiological data, engage
-
, deposition and characterisation tools, including bespoke burner-rig testing design for realistic thermal testing. Combination of experimental, analytical, and modelling training, ideal for interdisciplinary
-
relevant to the proposed PhD project. Enthusiasm for research, the ability to think and work independently, excellent analytical skills and strong verbal and written communication skills are essential
-
| £20780 + £2500 industry top up (per annum (tax free)) Overview This exciting, fully-funded PhD opportunity invites applications from candidates with a robust foundation in data science, modelling, and
-
qualitative data acquired through focus groups and interviews with regulators, manufacturers and engineers, and deriving analytic insights into material perceptions and values. In addition, they will oversee
-
, finance, and healthcare, where data integrity and system reliability are non-negotiable. This PhD project addresses the integration of robust security measures within AI-enabled electronic systems
-
are the social, environmental, and economic costs of those responses? The project will involve collecting and analysing transport-related data from a variety of sources. By combining sensor and camera observations
-
mitigating jamming and spoofing threats in real-time. Integration of Trusted Execution Environments (TEEs): Investigate the use of TEEs to create secure zones within embedded systems, facilitating secure data
-
, mathematics and the physical sciences. Students should be able to demonstrate aptitude for computer modelling and enthusiasm to address real-world problems of great policy significance. Studentship may start in