Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nature Careers
- Oak Ridge National Laboratory
- ;
- ETH Zurich
- Fraunhofer-Gesellschaft
- Princeton University
- University of Texas at Austin
- Boston Children's Hospital
- Technical University of Munich
- The University of Chicago
- Auburn University
- California Institute of Technology
- Forschungszentrum Jülich
- University of California
- University of Florida
- University of Glasgow
- University of Sheffield
- CEA
- Duke University
- Harvard University
- KINGS COLLEGE LONDON
- KTH Royal Institute of Technology
- Lawrence Berkeley National Laboratory
- Medical Research Council
- NIST
- North Carolina State University
- Northeastern University
- Pennsylvania State University
- SUNY University at Buffalo
- Stony Brook University
- Temple University
- The University of Queensland
- UNIVERSITY OF GREENWICH
- University of California Davis
- University of California, Los Angeles
- University of Manchester
- University of Oklahoma
- University of Vermont
- Virginia Tech
- Yale University
- Aalborg University
- Alabama State University
- Anteral SL
- Boston College
- CSIRO
- Carnegie Mellon University
- Cold Spring Harbor Laboratory
- Durham University
- European Magnetism Association EMA
- FLINDERS UNIVERSITY
- Flinders University
- Free University of Berlin
- Hofstra University
- Imperial College London
- Jane Street Capital
- Johns Hopkins University
- King Abdullah University of Science and Technology
- Koç University
- Linköping University
- London School of Economics and Political Science;
- McGill University
- Medical College of Wisconsin
- Monash University
- Nanyang Technological University
- Rutgers University
- San Jose State University
- Singapore Institute of Technology
- Technical University of Denmark
- The Chinese University of Hong Kong
- The Ohio State University
- UCL;
- UNIVERSIDAD POLITECNICA DE MADRID
- UNIVERSITY OF SURREY
- UNIVERSITY OF VIENNA
- Universidad de Alicante
- University of Alberta
- University of Antwerp
- University of Arkansas
- University of Bristol
- University of British Columbia
- University of Delaware
- University of Greenwich
- University of Illinois at Urbana Champaign
- University of Kansas Medical Center
- University of Maine
- University of Maryland, Baltimore
- University of Maryland, Baltimore County
- University of Miami
- University of Michigan
- University of New South Wales
- University of North Carolina at Chapel Hill
- University of Oxford
- University of Pennsylvania
- University of South Carolina
- University of Surrey
- University of Tennessee at Chattanooga
- University of Tennessee, Knoxville
- University of Texas at Dallas
- University of Toronto
- University of Vienna
- 90 more »
- « less
-
Field
-
service deployments, or publications in AI/science venues. Experience with GPUs and performance optimization of ML at scale. Familiarity with containerization and HPC workflows. For full consideration
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Engineer will support the development and operation of the GPU-accelerated, real-time data analysis pipelines that will turn images from the world’s largest digital camera into discoveries. Three years
-
) VS Code (extensions for Python, Jupyter) Cloud Platforms & Remote Development Google Colab: Managing notebooks, using GPUs, data integration AWS / Azure / GCP basics (at least one of the three
-
3T Siemens MR scanners, OPM-MEG, EEG, eye tracking, and TMS laboratories. They will also have access to Princeton's world-class computational infrastructure, including GPU systems capable of running
-
on heterogeneous processor types Optimized GPU computing and exploitation of GPU architectures for HPEC (tensors, multi-GPU instantiations, advances in GPU for AI/ML) Compute-focused optimization of System-on-Chip
-
on hardware which may include CPUs, GPUs and FPGAs. In particular we are interested in applicants who have experience of modern coding practices and software techniques. The post-holder will work with Prof. Ben
-
dynamics, targeting large-scale systems equipped with GPUs and other accelerators. Key research topics include mixed-precision numerical methods, integrating machine learning into computational workflows
-
research computing and visualization services. ARC systems currently host 50,000+ CPU cores, 500+ advanced GPUs, and 10+ petabytes of storage. We stay abreast of novel and developing trends in research
-
within DNA and RNA sequencing, laboratory automation, CPU and GPU compute resources, proteomics, metabolomics, and advanced microscopy. This position offers an excellent opportunity to work in an
-
, including GPU systems capable of running large-scale AI workflows. Applicants should submit online at https://www.princeton.edu/acad-positions/position/39681 and include a cover letter, curriculum vitae