Sort by
Refine Your Search
-
Listed
-
Employer
- University of Glasgow
- Durham University
- University of Oxford
- ;
- AALTO UNIVERSITY
- KINGS COLLEGE LONDON
- Heriot Watt University
- UNIVERSITY OF VIENNA
- University of Liverpool
- Aston University
- King's College London
- University of Newcastle
- ; University of Reading
- DURHAM UNIVERSITY
- Liverpool John Moores University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- University of Bristol
- University of London
- University of Reading
- 9 more »
- « less
-
Field
-
developing and implementing very large deep learning models. Familiarity with high performance computing environments (e.g., HPC clusters, GPUs, Cloud resources) and managing Linux based hardware systems
-
profile in the field of high performance computing and parallel system. You are involved in research projects and scientific studies in the field of parallel and high-performance computing systems, tools
-
), the successful candidate will start performing in vivo testing of gene editing in the DDEB mouse model using lipid nanoparticles previously tested in vitro. We will test different delivery routes of lipid
-
Job Purpose We are seeking to recruit a motivated and creative Research Assistant/Associate (postdoctoral researcher) to work within an MRC-funded research programme (https://gtr.ukri.org/projects
-
and modelling of nanoelectronic devices operating at cryogenic temperatures (4 Kelvin - 77 Kelvin) for energy efficient quantum computing (QC) and high-performance AI computing in data centres
-
AI and accelerating the development of Embedded AI systems and applications. The ANT doctoral candidates will design high performance distributed Embedded AI algorithms and systems under stringent
-
laser sub-assemblies entirely manufactured from fused silica and other high performance glasses. This is an integrated aspect of the “Making Challenge” of the “Smart Products Made Smarter” Prosperity
-
). Analysis will be performed on collaborative cloud computing environments using the extensive computing infrastructure developed by the Sanders Lab. You will be involved with all aspects of the data analysis
-
which insect chemosensory receptors are able to sense and respond to carbon dioxide. The research programme will provide broad insight into direct molecular responses to carbon dioxide and supply tools
-
developing and applying the Multi-Estimator Method for Intrinsic Alignments (MEM-IA), which uses multiple shear estimators applied to the same galaxy sample to measure the intrinsic alignment signal without