Sort by
Refine Your Search
-
Category
-
Employer
- ;
- Cranfield University
- University of Manchester
- ; University of Birmingham
- University of Cambridge
- University of Nottingham
- ; Manchester Metropolitan University
- ; University of Sussex
- ; University of Warwick
- AALTO UNIVERSITY
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Loughborough University
- ; The University of Manchester
- ; University of Leeds
- ; University of Surrey
- 5 more »
- « less
-
Field
-
not possible to properly understand political processes without exploring the economic or value contexts in which politics operates. Similarly, sound economic analysis requires an awareness of how
-
assistant system using multimodal AI methods to process vision, language, and audio signals with an application to human- robot interactions to understand and respond to human actions. The successful
-
products ranging from kitchenware, paints, upholstery and performance textiles. Companies receiving and processing textiles have new regulations imposed by the Environment Agency, reducing PFAS limits in
-
, a minimum mark of 65% in your dissertation and no mark below 55% (or overseas equivalent) Nationality restrictions This funding is available to all nationalities. Application procedure You must submit
-
near boiling point. Your work will lay the foundation for future hydrogen fuel systems in medium-to-large aircraft, advancing both science and sustainability. Candidate Profile We welcome applicants with
-
which will be fabricated by a partner. Novel solutions will be required to allow the modulation of the optical signal to be able to compensate for imperfections in the mirco-ring sensors to enable
-
an interest in and enthusiasm for developing their skills and critical thinking in the museum sector or interdisciplinary curatorial practice. Application Procedure The application deadline is Midnight (BST
-
Academic Studentship. Application procedure Stage 1: Submit your completed online programme application for PhD Politics by 1 December 2024. We can guarantee eligible applications submitted by
-
. Simulations are suitable to characterise processes in healthy and diseased individuals including stroke patients. Machine learning methods might be considered to accelerate simulations. The project provides a
-
programme +2 - covering 2 years of study for current postgraduate researchers 1+3 - covering Master's and Doctoral study Please see Additional Information for 1+3 and +2 application processes. Tenable period