Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ; Swansea University
- Harper Adams University
- ;
- University of Nottingham
- ; The University of Manchester
- Cranfield University
- Imperial College London
- AALTO UNIVERSITY
- UNIVERSITY OF VIENNA
- ; Imperial College London
- ; Lancaster University
- ; Newcastle University
- ; University of Birmingham
- ; University of Bradford
- ; University of Exeter
- ; University of Greenwich
- ; University of Nottingham
- ; University of Plymouth
- ; University of Reading
- ; University of Sheffield
- ; University of Warwick
- KINGS COLLEGE LONDON
- University of Sheffield
- 13 more »
- « less
-
Field
-
list of categories for HE in Wales Applicants for PhD must hold an undergraduate degree at 2.1 level and a master’s degree. Alternatively, applicants with a UK first class honours degree (or non-UK
-
applicants only Due to funding restrictions, this scholarship is open to applicants eligible to pay tuition fees at the UK rate only, as defined by UKCISA (Full list of categories for HE in Wales) PhD
-
into hydrogen and nitrogen under practical onboard conditions. Successful candidate will develop and apply computational methods, such as density functional theory based atomistic modelling and machine learning
-
Deployment The PhD programme offers: Training in the theory for solar energy technologies, experimental measurement and evaluation techniques, tools for modelling and predicting PV generation. Opportunities
-
, Harper Adams won the Student Support category for the fifth time – the only university to have taken the title since the awards began - and won the category for best job prospects for a fourth year running
-
University of the Year and runner-up University of the Year. In the 2019 Whatuni? Student Choice Awards, based on student reviews, Harper Adams won the Student Support category for the fifth time – the only
-
will be augmented with atomistic structure data from electronic structure theory and STEM image simulations. All data will be combined into an automated workflow that predicts thermodynamically stable
-
analytical frameworks grounded in Mean Field Game (MFG) theory and Multi-Agent Reinforcement Learning (MARL), which are tailored for eCPS. These frameworks will facilitate the creation of effective control
-
aforementioned tasks with the following actions: Develop the principles and theories for governing the scalability principles for building innovative robotics end-effectors that can access geometrically complex
-
engineering or a relevant area. An MSc degree and/or experience and good knowledge in gas turbine theory, thermodynamics, Machine Learning, and computer programming will be an advantage. Funding Sponsored by