Sort by
Refine Your Search
-
Listed
-
Country
-
Program
-
Employer
- University of North Carolina at Chapel Hill
- Argonne
- NEW YORK UNIVERSITY ABU DHABI
- Princeton University
- Universite de Moncton
- Yale University
- Forschungszentrum Jülich
- Imperial College London
- Jane Street Capital
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- National University of Singapore
- University of Luxembourg
- ; University of Oxford
- AALTO UNIVERSITY
- Brookhaven Lab
- Carnegie Mellon University
- Columbia University
- Duke University
- Embry-Riddle Aeronautical University
- Empa
- European Magnetism Association EMA
- European Space Agency
- Georgia State University
- Heriot Watt University
- KINGS COLLEGE LONDON
- Linköping University
- Manchester Metropolitan University
- Monash University
- Nanyang Technological University
- New York University
- Northeastern University
- Oak Ridge National Laboratory
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Shanghai Jiao Tong University
- Simons Foundation
- Stanford University
- Stony Brook University
- Technical University of Munich
- The Ohio State University
- The University of Alabama
- The University of Arizona
- UNIVERSITY OF SOUTHAMPTON
- University of Glasgow
- University of Houston Central Campus
- University of Maryland, Baltimore
- University of Minnesota
- University of Minnesota Twin Cities
- University of New Hampshire – Main Campus
- University of North Texas at Dallas
- University of Oxford
- University of South Carolina
- University of Texas at Arlington
- University of Texas at Austin
- VU Amsterdam
- 44 more »
- « less
-
Field
-
vision systems (e.g., NVIDIA Jetson Nano) Real-time processing and GPU acceleration Experience working on industry R&D projects Key Competencies Able to build and maintain strong working relationships with
-
that address real-world challenges and deliver positive business outcomes. The Institute for Insight is equipped with a computer cluster that includes multiple GPUs, designed for big data analytics for both
-
(HPC) platforms used in machine learning, big data and artificial intelligence (AI) based applications (CPUs, GPUs, AI accelerators etc.) require high power demands with optimized power distribution
-
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
-
. Zou, which includes access to high performance computational resources with GPUs, conference travel support, and great opportunities for collaboration and networking with experts in Industrial
-
for early detection, differential diagnosis, progression monitoring, and treatment design. Key attractions are access to a high-performance computing cluster, NUS HPC (H100/H200 GPU clusters), two 3T Prisma
-
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
-
models, (d) experience in using high performance computing systems with multiple nodes and GPUs and (e) drought metrics. Familiarity with Texas water resources and management practices. Experience working
-
implemented in the Fortran programming language, and it relies on the platform CUDA for parallelization of the computation over several GPUs’ cores, and has interfaces with Matlab and Python for ease of use
-
conditions. Implementing a multimodal approach for large-scale data analysis using CPU and GPU Solutions at the UM6P Data Center. Innovate and improve image analysis algorithms for plant trait quantification