Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- Nature Careers
- Oak Ridge National Laboratory
- Forschungszentrum Jülich
- Carnegie Mellon University
- CNRS
- HHMI
- NEW YORK UNIVERSITY ABU DHABI
- Technical University of Munich
- Harvard University
- National University of Singapore
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Argonne
- Nanyang Technological University
- Princeton University
- The Ohio State University
- Duke University
- University of Birmingham
- ETH Zurich
- IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava
- Stanford University
- University of Glasgow
- University of Luxembourg
- DAAD
- Hong Kong Polytechnic University
- Imperial College London
- Leibniz
- McGill University
- New York University
- North Carolina State University
- Northeastern University
- Rutgers University
- SUNY Polytechnic Institute
- Technical University of Denmark
- The University of Chicago
- University of Florida
- University of Miami
- University of North Carolina at Chapel Hill
- University of Sheffield
- University of South Carolina
- University of Texas at Austin
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Aarhus University
- California Institute of Technology
- Central Michigan University
- Cornell University
- Dublin City University
- ETH Zürich
- Florida International University
- Fraunhofer-Gesellschaft
- Inria, the French national research institute for the digital sciences
- Jane Street Capital
- K3Y Ltd
- Lawrence Berkeley National Laboratory
- Linköping University
- Massachusetts Institute of Technology
- Massachusetts Institute of Technology (MIT)
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Michigan Technological University
- NIST
- National Renewable Energy Laboratory NREL
- Pennsylvania State University
- SciLifeLab
- Stony Brook University
- Texas A&M University
- University of California
- University of Colorado
- University of Lund
- University of Nevada Las Vegas
- University of Oslo
- University of Texas at Arlington
- University of Toronto
- University of Utah
- University of Washington
- VIB
- AALTO UNIVERSITY
- AI4I
- AIT Austrian Institute of Technology
- ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA INDUSTRIALE
- Aalborg University
- Auburn University
- Barnard College
- Binghamton University
- Blekinge Institute of Technology
- Brookhaven National Laboratory
- Brown University
- Case Western Reserve University
- Center for Devices and Radiological Health (CDRH)
- Centro de Astrofisica da Universidade do Porto
- Chalmers University of Technology
- Delft University of Technology (TU Delft)
- Drexel University
- ELETTRA - SINCROTRONE TRIESTE S.C.P.A.
- Eindhoven University of Technology (TU/e)
- Electronics and Informatics Department
- Embry-Riddle Aeronautical University
- Erasmus MC (University Medical Center Rotterdam)
- FAPESP - São Paulo Research Foundation
- Florida Atlantic University
- Fundación para la Investigación Biomédica del Hospital Gregorio Marañón (FIBHGM)
- Ghent University
- 90 more »
- « less
-
Field
-
communication skills. First-author publications at NeurIPS, ICLR, ICML, AAAI, KDD, or IJCAI. Experience working with large-scale, noisy, or real-world datasets. Experience with GPU-based training and high-performance
-
have access to state-of-the-art facilities and major cyberinfrastructure investments, including the Advanced Research Computing Center (ARCC), the NCAR-Wyoming Supercomputing Center (NWSC), GPU computing
-
. Training LLMs, large-scale deep learning systems, and/or large foundation models using GPU/TPU parallelization while setting up the environment/system network under various constraints, such as limited
-
resources, including the Texas Advanced Computing Center (TACC) , and multiple HPCs on campus , including some GPU-heavy clusters. University of Texas at Arlington Research Institute (UTARI) Center
-
for candidates with experience in ML model deployment, workflow orchestration, and high-throughput data processing, as well as experience working with large biological datasets in scalable GPU-based computing
-
datasets in scalable GPU-based computing environments. What we provide: A competitive compensation package, with comprehensive health and welfare benefits. A supportive team environment that promotes
-
advanced C++ development, including multi-threading, CMake, and Eigen Familiarity with GPU-based computing concepts such as CUDA Understanding of industrial communication protocols such as Ethernet, USB
-
to the development of advanced language models and derived use cases by focusing on one or more of the following topics in their PhD project: Training and inference of ML models on GPU clusters. Method development
-
storage and archiving solutions to collaboration and analytics tools. ARC also delivers Baskerville; a leading GPU accelerated National Compute Resource (NCR) and supports researchers using specialist
-
will design, implement, and validate novel algorithms, and benchmark them against state-of-the-art reconstruction pipelines. Strong programming skills (e.g., Python/C++ and GPU-based computing) and