Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- Cranfield University
- ;
- University of Manchester
- Trinity College Dublin
- ; University of Birmingham
- ; University of Surrey
- University of Cambridge
- University of Nottingham
- ; Loughborough University
- ; Swansea University
- ; University of Sussex
- AALTO UNIVERSITY
- ; Coventry University Group
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Imperial College London
- ; The University of Manchester
- ; University of Exeter
- ; University of Leeds
- ; University of Limerick
- ; University of Warwick
- National Institute for Bioprocessing Research and Training (NIBRT)
- 11 more »
- « less
-
Field
-
. References, and Your personal statement. Once your PhD programme online application has been submitted you must email li-nubs-phd-support@nottingham.ac.uk to indicate you would like to be considered
-
Biomedical Campus. You will join an exciting research programme investigating fundamental mechanisms of ribosome assembly, translational control and how defects in these processes drive cancer development
-
to have a proactive attitude towards problem solving independently. The student is expected that she/he has prior experience using machine learning tools before and be familiar with signal processing tools
-
electronics, embedded programming, signal processing, vibration measurement and analysis, maintenance engineering, and electro-mechanical engineering. Funding This is a self-funded PhD. Find out more about fees
-
, 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
-
of Education and Health Sciences to undertake a PhD degree is a separate process. Applications can be made by submitting (1) a current two-page academic CV and (2) an expression of interest document
-
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
-
methods in the past. A piece of comprehensive computer software, Pythia with the corresponding capabilities have been developed and tested successfully in several industrial applications. The software can