Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- Nature Careers
- Oak Ridge National Laboratory
- ;
- California Institute of Technology
- Princeton University
- Technical University of Munich
- ETH Zurich
- University of Texas at Austin
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- University of North Carolina at Chapel Hill
- Yale University
- Carnegie Mellon University
- Imperial College London
- KINGS COLLEGE LONDON
- NEW YORK UNIVERSITY ABU DHABI
- Stony Brook University
- The University of Chicago
- University of Glasgow
- Argonne
- Brookhaven Lab
- European Space Agency
- Harvard University
- North Carolina State University
- Northeastern University
- Pennsylvania State University
- The University of Queensland
- Universite de Moncton
- University of Sheffield
- Auburn University
- Boston Children's Hospital
- CEA
- Curtin University
- DAAD
- Duke University
- European Magnetism Association EMA
- Heriot Watt University
- Linköping University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Monash University
- NIST
- Nanyang Technological University
- National University of Singapore
- SUNY University at Buffalo
- Stanford University
- The Ohio State University
- UNIVERSITY OF GREENWICH
- UNIVERSITY OF SURREY
- University of Bristol
- University of California, Los Angeles
- University of Luxembourg
- University of Manchester
- University of Maryland, Baltimore
- University of Oklahoma
- University of Oxford
- University of South Carolina
- University of Vermont
- Virginia Tech
- ; Swansea University
- ; University of Oxford
- ; University of Southampton
- ; University of Strathclyde
- AALTO UNIVERSITY
- Boston College
- CSIRO
- Capitol College
- Centre for Genomic Regulation
- City University London
- Cold Spring Harbor Laboratory
- Columbia University
- Deakin University
- Embry-Riddle Aeronautical University
- Empa
- Free University of Berlin
- Georgia State University
- Ghent University
- Hofstra University
- Jane Street Capital
- Johns Hopkins University
- King Abdullah University of Science and Technology
- Kingston University
- Koç University
- Lawrence Berkeley National Laboratory
- Manchester Metropolitan University
- McGill University
- Medical College of Wisconsin
- New York University
- Radboud University
- Rutgers University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- San Jose State University
- Shanghai Jiao Tong University
- Simons Foundation
- Singapore Institute of Technology
- Technical University of Denmark
- Temple University
- The Chinese University of Hong Kong
- The University of Arizona
- UNIVERSITY OF SOUTHAMPTON
- 90 more »
- « less
-
Field
-
applications for computer vision. Experience using C++ to develop and run software applications. Experience using GPU-accelerated ML and related frameworks. Experience with Docker or other containerized
-
. Experience using C++ to develop and run software applications. Experience using GPU-accelerated ML and related frameworks. Experience with Docker or other containerized application development platform Three
-
, which has multiple test machines with GPUs and AI accelerators. The algorithms used can be bound by the available compute power or memory bandwidth in different parts of the program. This information will
-
, Hospital, Translational Medicine Research Center (KUTTAM), and Koç University Is Bank Artificial Intelligence Research Center (KUIS AI). Koç University is home to Türkiye’s largest GPU cluster, providing
-
models (e.g., CNNs, diffusion models, etc) Proficiency in Python Experience with HPC (CPU or GPU, with GPUs preferred) Related Skills and Other Requirements Ability to collaborate on the application of AI
-
and H100 GPUs, combined with pre-processed large-scale biobank data such as UK Biobank and ADSP, enabling you to work at the scale required for breakthrough research. The role offers exceptional
-
for GPU-accelerated applications. Data Engineering Tools: Proficiency in data engineering tools, including Apache Airflow for workflow orchestration, and message brokers like RabbitMQ or Kafka
-
The recruited engineer will be co-supervised by MdS and Joliot to implement this new approach. To achieve a portable, efficient code that fully exploits GPUs, the core of the code will be developed
-
mathematics and engineering. The Interpretable Machine Learning Lab has dedicated access to high-performance CPU and GPU computing resources provided by Duke University’s Research Computing unit and state
-
optimizing PIC algorithms for modern heterogeneous architectures, including CPUs, GPUs, and other accelerators, the project seeks to achieve unprecedented efficiency and resolution in plasma simulations