Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- University of Manchester
- ; Newcastle University
- ; University of Bristol
- AALTO UNIVERSITY
- University of Bristol;
- ; City St George’s, University of London
- ; Cranfield University
- ; Edge Hill University
- ; Loughborough University
- ; The University of Manchester
- ; University of Hertfordshire
- ; University of Plymouth
- Cranfield University
- Newcastle University
- University of Cambridge
- University of Nottingham
- ; Aston University
- ; Lancaster University
- ; Swansea University
- ; University of Exeter
- ; University of Leeds
- ; University of Oxford
- ; University of Reading
- ; University of Southampton
- ; University of Sussex
- Harper Adams University
- University of Newcastle
- University of Oxford
- 19 more »
- « less
-
Field
-
with a functional programming language Haskell, OCaml, etc. Funding: This scholarship covers the full cost of tuition fees and an annual stipend at UKRI rate (currently £20,780 for 2025/26). Additional
-
and problem-solving skills excellent written and verbal communication skills. If your first language is not English, you will need to meet the minimum English requirements for the programme, IELTS
-
? This MRC-funded PhD project will use an integrative multi-omics framework to explore the molecular landscape of cystic kidney disease to reveal unknown disease mechanisms and identify new therapeutic avenues
-
fully funded PhD research studentship in Physics-Informed Machine Learning for Cardiovascular Medicine. This opportunity is open to UK (Home) candidates only. Project Overview Arrhythmias are disorders
-
local gas/liquid phase conditions. Whilst direct simulations of breakup are possible, computational cost is high, restricting applications to small sections of geometry and for modest run times
-
emerging photonic microdevices promising to revolutionise computer, communication, and sensing technologies must be performed with unprecedented picometre (one-hundredth of the atomic size) precision
-
fully funded PhD research studentship in Physics-Informed Machine Learning for Cardiovascular Medicine. This opportunity is open to UK (Home) candidates only. Project Overview Arrhythmias are disorders
-
PhD Studentship: Dissecting the Molecular Architecture and Function of LMTK3 as a Therapeutic Target
of interest, skills and previous experience, motivation for Doctoral Research, future goals, and why you are applying to this project. On the application system select Programme of Study – PhD
-
background, we welcome applicants from other relevant disciplines, including psychology, sociology, criminology, law, and computer science. This PhD studentship is fully funded for up to 3.5 years with a tax
-
skills. Experience of working independently as well as part of a team How to apply: If you have already been accepted to start your PhD in Computation, Cognition and Language with Prof Anna Korhonen as