Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- ;
- KINGS COLLEGE LONDON
- University of Glasgow
- University of Oxford
- University of Sheffield
- Durham University
- Imperial College London
- Medical Research Council
- UNIVERSITY OF GREENWICH
- University of Manchester
- ; University of Southampton
- AALTO UNIVERSITY
- DURHAM UNIVERSITY
- Durham University;
- Heriot Watt University
- King's College London
- London School of Economics and Political Science;
- Lund University
- Nature Careers
- Northumbria University;
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Technical University of Denmark
- The University of Edinburgh;
- The University of Manchester;
- UCL;
- UNIVERSITY OF SURREY
- UNIVERSITY OF VIENNA
- University of Bristol
- University of Greenwich
- University of Surrey
- 20 more »
- « less
-
Field
-
Imperial College Healthcare NHS Trust. The LMS houses a CPU and GPU cluster in addition to making use of wider HPC provisions available from Imperial College. The Bioinformatics Facility works closely with
-
an academic research environment. Experience installing scientific software packages using a variety of methods (e.g. source compilation, containers). A good working knowledge of GPU technologies, installing
-
computing resources, with additional support involving HPC systems such as configuring GPU nodes, managing Slurm queues, containerising teaching notebooks, and enabling advanced pipelines Promote Robust
-
or large language models Experience with GPU-based model training or cloud computing Knowledge of synthetic biology or regulatory sequence design Previous collaboration with experimental biologists
-
as code” approach to systems automation. You’ll be working across a range of predominately Linux based systems, including HPC and GPU accelerated compute, large-scale and high-performance storage, and
-
of code acceleration (GPU) Participate in numerical modelling (HPC (GPU), MPI Fortran / C, C++ Kokkos, Python, Perl) of SAMS front end and physics/test modules. Write research reports, progress reports
-
free text of both biomedical literature and electronic patient records exploiting HPC, including GPUs embedded within NHS infrastructure. Development and deployment of ML operations software and tooling
-
patient records exploiting HPC, including GPUs embedded within NHS infrastructure. Development and deployment of ML operations software and tooling for ML / LLM algorithms working over free-text clinical
-
GPUs). Research Associate: Hold a PhD in high performance computing, computational fluid dynamics or a closely related discipline*, or equivalent research, industrial or commercial experience. Research
-
has embraced the “infrastructure as code” approach to systems automation. You’ll be working across a range of predominately Linux based systems, including HPC and GPU accelerated compute, large-scale