Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- ;
- KINGS COLLEGE LONDON
- University of Glasgow
- University of Oxford
- University of Sheffield
- DURHAM UNIVERSITY
- Durham University
- Imperial College London
- Medical Research Council
- University of Manchester
- ; University of Southampton
- AALTO UNIVERSITY
- Durham University;
- Heriot Watt University
- King's College London
- London School of Economics and Political Science;
- Nature Careers
- Northumbria University;
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Technical University of Denmark
- The University of Edinburgh;
- The University of Manchester
- The University of Manchester;
- UCL;
- UNIVERSITY OF GREENWICH
- UNIVERSITY OF SURREY
- UNIVERSITY OF VIENNA
- University of Bristol
- University of Greenwich
- University of Surrey
- 20 more »
- « less
-
Field
-
package Molly.jl on both CPU and GPU, as well as addressing relevant computational and algorithmic questions. This project is part of the Blue Sky Collaboration between the LMB and AstraZeneca, and will
-
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
-
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
-
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
-
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
-
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
-
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