Sort by
Refine Your Search
-
Employer
- ; Durham University
- ; City, University of London
- ; Coventry University
- ; Cranfield University
- ; Newcastle University
- ; University of Bedfordshire
- ; University of Greenwich
- ; University of Nottingham
- ; University of Sheffield
- ; University of Southampton
- University of Brighton
- University of London
- 2 more »
- « less
-
Field
-
details and apply Overview About the Role The School of Politics and International Relations is seeking an exceptional scholar for the role of Lecturer in Sociology (Teaching and Scholarship). The position
-
. The position will be based within the Integrated Musculo-Skeletal Biomechanics Group in the Insigneo Institute for in silico Medicine, a collaboration between the University of Sheffield, Sheffield Teaching
-
£4,300/year through a non-compulsory teaching assistantship Over £4000 to participate to conferences and training Eligibility: The studentships will be awarded based on outstanding academic achievement and
-
to develop a sustainable framework to support the deployment of secure, privacyenhanced, and transparent AI systems by addressing the following research objectives. Objectives: develop threat modelling
-
teaching environment and are committed to maintaining a supportive and inclusive community. We particularly encourage applicants from Minority Ethnic backgrounds because the University is under-represented
-
excellent, innovative education, scholarship and research’. The Institute for Health Research (IHR) is a centre of excellence in research. Currently, our staff and research students come from more than 25
-
yet to be studied in detail at the scale of a typical offshore monopile. The aim of this PhD project is to develop computational models of these removal processes, to understand their effectiveness in
-
difficulty is the same in each case: upscaling predictions from the lab to the application scale. This project takes a physically-grounded approach to develop a modelling platform. This platform, based on a
-
. This will include developing models, mathematical techniques and software tools that can predict how the power distribution lines, on-train power converters and trackside systems interact, and then to use
-
. The aim in this project is to develop a computational model of the installation and life of a DPA to both (a) predict embedment depth in a given soil and (b) arrive at an accurate picture of the state