Sort by
Refine Your Search
-
Listed
-
Country
-
Program
-
Employer
- Oak Ridge National Laboratory
- Nature Careers
- CNRS
- Argonne
- Duke University
- Harvard University
- IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava
- NEW YORK UNIVERSITY ABU DHABI
- Technical University of Munich
- Aarhus University
- Imperial College London
- Nanyang Technological University
- Princeton University
- Rutgers University
- SUNY Polytechnic Institute
- Texas A&M University
- University of Miami
- University of Oslo
- AI4I
- Brookhaven National Laboratory
- Center for Devices and Radiological Health (CDRH)
- Centro de Astrofisica da Universidade do Porto
- Chalmers University of Technology
- Dublin City University
- ELETTRA - SINCROTRONE TRIESTE S.C.P.A.
- ETH Zürich
- Eindhoven University of Technology (TU/e)
- FAPESP - São Paulo Research Foundation
- FCiências.ID
- Florida Atlantic University
- Forschungszentrum Jülich
- Fundación para la Investigación Biomédica del Hospital Gregorio Marañón (FIBHGM)
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Imperial College London;
- LINKS Foundation - Leading Innovation & Knowledge for Society
- Leibniz
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- Macquarie University
- Manchester Metropolitan University
- McGill University
- National Renewable Energy Laboratory NREL
- National University of Singapore
- Northeastern University
- Norwegian Meteorological Institute
- Paul Scherrer Institut Villigen
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Sandia National Laboratories
- Stanford University
- Technical University of Denmark
- The California State University
- UiT The Arctic University of Norway
- University at Buffalo
- University of Basel
- University of Jyväskylä
- University of Luxembourg
- University of Maryland, Baltimore
- University of Nebraska Medical Center
- University of New Hampshire – Main Campus
- University of North Carolina at Chapel Hill
- University of Texas at Austin
- University of Turku
- University of Utah
- Université côte d'azur
- Utrecht University
- VIB
- 55 more »
- « less
-
Field
-
role We are seeking a highly motivated PhD student to perform fundamental research and to conceive truly sparse solutions (on both, CPU and GPU) for dynamic sparse training, aiming to cut the training
-
Science, or a related field Strong programming skills in Python, R Solid understanding of: Machine learning fundamentals Deep learning architecture (e.g., CNNs, RNNs, Transformers) Optimization and model
-
University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 3 hours ago
. The researcher(s) will be provided access to state-of-the-art supercomputing facilities with advanced GPU and data storage capabilities. Additionally, opportunities will be available for collaborations. Duties
-
part of the core PLI team, which includes top-tier faculty, research fellows, scientists, software engineers, postdocs, and graduate students. Fellows will have access to the AI Lab GPU cluster (300
-
and or Python required, experience with wireless testbeds desirable, some familiarity with GPU programming desirable (to support collaboration with NVIDIA) Duke is an Equal Opportunity Employer
-
Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
pests, or high-throughput phenotyping Solid background in mathematics and scientific programming (R, Python, etc.) along with effective logical reasoning skills Experience with high-performance computing
-
pests, or high-throughput phenotyping Solid background in mathematics and scientific programming (R, Python, etc.) along with effective logical reasoning skills Experience with high-performance computing
-
electronics. Experience in C/C++, Matlab, and Python programming. Experience in power systems software like PSCAD, PSS/e. Preferred Qualifications: Experience in real-time simulation hardware like Opal-RT and
-
-end GPUs We will jointly choose tasks based on your expertise and interests. Most important is a strong interest in scientific methods, a solid knowledge foundation (e.g. studying computer science, open
-
. In addition, CVI2 provides high-performance GPU computing resources that support the design and training of advanced AI models. The research agenda of CVI2 focuses on cutting-edge topics such as 3D