Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- University of Manchester
- ; Newcastle University
- University of Bristol
- ; University of Bristol
- Newcastle University
- ; City St George’s, University of London
- ; Cranfield University
- ; Loughborough University
- ; The University of Manchester
- ; University of Plymouth
- AALTO UNIVERSITY
- Cranfield University
- University of Oxford
- ; Aston University
- ; Lancaster University
- ; Swansea University
- ; University of Hertfordshire
- ; University of Leeds
- ; University of Oxford
- ; University of Sussex
- Coventry University Group;
- Harper Adams University
- UNIVERSITY OF VIENNA
- University of Cambridge;
- University of Exeter
- University of Hertfordshire
- University of Newcastle
- University of Nottingham
- University of Plymouth
- University of Sheffield
- 21 more »
- « less
-
Field
-
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
-
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
-
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
-
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
-
Funding: School of Computer Science studentship consisting of the award of fees, together with a tax-free maintenance grant of £20,780 per year for 3.5 years. Lead Supervisor’s full name & email
-
the solution of governing PDEs. - Train machine learning models to predict lifetime and failure based on loading and environmental histories. The PhD student will have access to world-class computing facilities
-
degree or MSc degree (Distinction/Merit) in engineering, computer science, or other closely related fields. Experience with ROS and proficient programming language skills (C++, Python, MATLAB) would be
-
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
; University of Sussex | The City of Brighton and Hove, England | United Kingdom | about 2 months agoof 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