Sort by
Refine Your Search
-
Listed
-
Employer
- Durham University
- University of Oxford
- Queen Mary University of London
- University of Oxford;
- AALTO UNIVERSITY
- DURHAM UNIVERSITY
- Imperial College London
- Queen Mary University of London;
- Ellison Institute of Technology
- Heriot Watt University
- King's College London
- Lancaster University
- MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE
- UNIVERSITY OF VIENNA
- University of Cambridge;
- University of Exeter;
- University of Glasgow
- University of Hull;
- University of Liverpool
- University of Manchester
- University of West London
- 11 more »
- « less
-
Field
-
, demonstrating strong proficiency in electronic structure calculations, high-performance computing (HPC), and code development for molecular spectroscopy. This full-time, 3-year position supports the STFC-funded
-
-performance computing being desirable. How to Apply Please complete the online application form via the Applicant Portal, and upload a copy of your CV. About the School/Department/Institute/Project You will be
-
-performance computing being desirable. About the School/Department/Institute/Project You will be based in the Digital Environment Research Institute (DERI ) and the Cardiovascular Devices Hub (CVDHub). DERI is
-
, developing robust software prototypes, executing rigorous performance evaluations, and disseminating findings through high-impact academic publications. About You Candidates must hold an undergraduate and/or
-
outputs. The research methods will include experiment design, software implementation, running deep learning experiments on high-performance computing infrastructure, and evaluation using objective metrics
-
to highly complex, two-way interactions between the wakes and the overlying atmosphere. While the wider project combines both experimental and computational tools, this position at Durham University focuses
-
to exploit the upgraded tracking detectors, as well as ensuring all code used is efficient on the changing computing architectures available. The post will also support the upgrade software for the high level
-
outputs. The research methods will include experiment design, software implementation, running deep learning experiments on high-performance computing infrastructure, and evaluation using objective metrics
-
analytics to accelerate vaccine discovery. The postholder will contribute to the systems vaccinology and systems biology workstream of the programme, performing the analysis and integration of high
-
their data pipeline. These foundation models will be used to improve the operation of cryoSTEM microscopes when applied to biological samples. Parallel Model Training: Deploy parallel computing systems