Sort by
Refine Your Search
-
Program
-
Employer
- ;
- ; Manchester Metropolitan University
- ; Loughborough University
- ; The University of Manchester
- ; University of Surrey
- Cranfield University
- ; Newcastle University
- ; University of Birmingham
- University of Aberdeen
- ; Cranfield University
- ; Swansea University
- ; The University of Edinburgh
- ; UCL Institute of Neurology
- ; University of Glasgow
- ; University of Sheffield
- Harper Adams University
- University of Cambridge
- University of Sheffield
- 8 more »
- « less
-
Field
-
challenge due to diverse and unique characterises and interests. The successful candidate will develop a framework for co-designing serious games that leverage Generative AI, working with individuals with LD
-
Medicine, Medical Sciences & Nutrition Division Institute of Education in Healthcare and Medical Sciences Duration of Post Funding/Activity Limited Salary £103,241 per annum, pro rata Applications
-
You will join the Institute of Education in Healthcare and Medical Sciences (IEHMS) as one of a team of academic, administrative and clerical staff who support the MBChB and other healthcare
-
) enhance understanding of the degradation processes; (ii) investigate inspection and condition assessment strategies; and (iii) develop modelling techniques, leveraging machine learning and artificial
-
upload a word document stating "Not Applicable". Harper Adams University is one of the premier UK Higher Education institutions focused on the land-based and food supply chain sector. With around 2,800
-
models describing operations in upstream and downstream processing. These mechanistic models once established will be used, amongst other things, to develop a modelling framework to assist in scale up and
-
Rationale Flooding stands as the most prevalent natural hazard. However, whilst substantial research effort has been reported in the last decade to develop high-performance physics-based models
-
sectors. Working closely with the National Physical Laboratory, these projects will aim to develop novel approaches, methods and tools to engineer and integrate revolutionary quantum technologies
-
Match Officials Limited. This project aims to develop deep insights into the spatiotemporal characteristics of soccer match officials’ movement and positioning in the context of decision-making
-
, however, fails to accurately predict friction when operating conditions deviate from measured conditions. There is therefore a need to develop accurate physics and data-based models for tyre friction