Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- ; The University of Manchester
- ; University of Warwick
- University of Nottingham
- University of Sheffield
- ; Cranfield University
- ; Loughborough University
- ; University of Birmingham
- ; University of Oxford
- ; University of Sheffield
- ; University of Southampton
- AALTO UNIVERSITY
- University of Cambridge
- ; Swansea University
- ; University of Exeter
- ; Anglia Ruskin University
- ; Brunel University London
- ; Newcastle University
- ; Queen Mary University of London
- ; University of Cambridge
- ; University of Nottingham
- ; University of Plymouth
- ; University of Reading
- ; University of Surrey
- ; University of Sussex
- Newcastle University
- University of Manchester
- University of Newcastle
- 19 more »
- « less
-
Field
-
The University of Exeter’s Department of Computer Science is inviting applications for a PhD studentship funded by Faculty of Environmental Science and Economy to commence on September 2025 or as
-
Specified use +4 - covering a full postgraduate research programme Please note that existing postgraduate research students cannot be considered for this funding. Tenable period 4 years full-time or 8 years
-
the understanding of how alloy composition influences properties and processability in solute-lean titanium alloys. The research will involve: Alloy production via arc melting, hot rolling, and simulated forging
-
simulations to model this process and, in conjunction with ongoing experimental studies, obtain design rules for the optimum crown ether, lithium counter-ion, and solvent, which will lead to enhancements in
-
Engineering, Physics, Computer Science or a related field. Master’s degree or equivalent postgraduate qualification is desirable. Strong analytical and computational skills for optimisation and energy modelling
-
simulating fluid networks and dynamic phenomena for assessing different solutions is a necessity The overall aim of this project is to improve the confidence in fuel system design process for ultra-efficient
-
titanium alloys. The research will involve: Alloy production via arc melting, hot rolling, and simulated forging trials Microstructural characterisation using electron microscopy (SEM & TEM), X-ray
-
Process Shortlisted applicants will be invited to two interviews. The second includes a 15-minute presentation on your motivation to join the CDT and how your background aligns with the programme. Contact
-
: Advancing Neuromorphic Electronics/Computing: Develop advanced neuromorphic architectures that simulate neural and synaptic structures of the brain to improve adaptability and real-time decision-making in
-
create a computational tool based on experimental input, simulated data, and machine learning methodology to extract 3D atomic structure information from 2D identical location STEM images. STEM image data