Sort by
Refine Your Search
-
Listed
-
Employer
- Durham University
- University of Oxford
- ;
- DURHAM UNIVERSITY
- Heriot Watt University
- AALTO UNIVERSITY
- UNIVERSITY OF VIENNA
- University of Exeter;
- KINGS COLLEGE LONDON
- ; University of Cambridge
- Durham University;
- Heriot-Watt University;
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Nature Careers
- Oxford Brookes University;
- University of Exeter
- University of Glasgow
- University of Hull
- University of Liverpool
- University of London
- University of Manchester
- University of Sheffield
- University of Wolverhampton
- Xi'an Jiaotong - Liverpool University
- 14 more »
- « less
-
Field
-
for high-accuracy Additive Manufacturing” (PAAM) in the department of Engineering, Computing and Mathematics (ECM) at Oxford Brookes University, Oxford, U.K. The position, funded by the Engineering and
-
goals: Develop a research and innovation environment and culture that fuels a high-performing RKE community through attracting and retaining talent. Increase the quality of our research by focusing
-
strong potential o Proficiency in Python and/or R programming languages o Experience working in high-performance computing (HPC) environments o Command line proficiency and BASH scripting
-
potential further extension, subject to confirmed funding. You will lead experiments in the OPG arc-jet/plasma wind tunnel, developing and commissioning facility upgrades (higher-power operation, new nozzles
-
interactions. We’re Looking for Someone With: Strong expertise in protein structure prediction, molecular modelling, and docking. Proficiency in LINUX, bash scripting, and high-performance computing environments
-
in Python, working with high-performance computing clusters, and implementing reproducible research workflows. The position requires expertise in prokaryotic genomics, strong statistical and
-
on advanced material coating strategies. The project addresses the growing need to improve the surface properties and stability of LFP materials, especially under high-performance applications
-
engagement and development Our Exeter Academic initiative supporting high performing academics to achieve their potential and develop their career A multitude of staff benefits including sector leading
-
utilization of raw materials, designing more efficient processes and developing new materials and products. Our department’s areas of expertise enable a sustainable future with high-performance products and
-
Responsibilities To undertake training to run CONDOR simulations and in biophysics as required. To run and analyse CONDOR simulations on our high-performance computing cluster. To develop a deep-learning model for