Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- ; Swansea University
- University of Nottingham
- ; The University of Manchester
- Cranfield University
- Imperial College London
- UNIVERSITY OF VIENNA
- ; Imperial College London
- ; Lancaster University
- ; Newcastle University
- ; University of Birmingham
- ; University of Exeter
- ; University of Greenwich
- ; University of Nottingham
- ; University of Plymouth
- ; University of Reading
- ; University of Sheffield
- ; University of Warwick
- AALTO UNIVERSITY
- KINGS COLLEGE LONDON
- 10 more »
- « less
-
Field
-
Application deadline: All year round Research theme: Computational Chemistry, Material Science No. of positions: 1 Eligibility: UK students This 3.5-year project is fully funded by industry and home
-
this is £20,780 full time equivalent) across 3.5 years. Funding is also available towards fieldwork and research consumable costs relevant to the research project. Overview We seek an excellent candidate
-
One Research Associate position exists in the data-driven mechanics Laboratory at the Department of Engineering. The role is to set up a machine learning framework to predict the plastic behaviour
-
, the link arises because APE is created at high latitudes by strong surface cooling, cause APE anomalies to propagate along the western boundary. To test the new theory, the aim will be to diagnose the AMOC
-
(developed by B.J. Evans, O. Hassan and K. Morgan). This solver directly solves the Boltzmann-BGK model equation for the velocity distribution function, which is a fundamental quantity in rarefied gas
-
Computation and Data Driven Design of Materials for Onboard Ammonia Cracking This exciting opportunity is based within the Advanced Materials Research Group at the Faculty of Engineering which
-
the electricity generation mix continues to grow. Installed capacity in the UK in 2020 was 13.4 GW and is expected to increase to 40 GW by 2030. Accelerating the adoption of solar energy will present significant
-
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
-
systems (eCPS). The focus in this research is on analysing and managing agent behaviour for enhanced sustainability and resilience. The student will be presented with a chance to shape actionable solutions
-
the next generation of robots and its sensing solutions to perform tasks in challenging working environments. This project is related to the development of smart mechanisms and sensing to support the