Sort by
Refine Your Search
-
Listed
-
Country
-
Field
-
compensation package with comprehensive health and welfare benefits. A supportive team environment that promotes collaboration and knowledge sharing. Access to world-class computational infrastructure, GPU-based
-
supportive team environment that promotes collaboration and knowledge sharing. Access to world-class computational infrastructure, GPU-based computing environments, and unique high-quality cryoET datasets
-
Cluster (Jubail) dedicated to the science division, several GPU-based clusters at NYUAD, and other supercomputer facilities through NYUAD. Applicants should have a PhD in computational astrophysics with
-
empowers researchers to solve complex problems through a massive ecosystem of 50,000+ CPU cores, 1,000+ GPU resources, and 50PB+ of storage. At CHPC, we foster a positive, collaborative environment where
-
/GPU environments. Provide consultative support and training to researchers using BRC AI/ML tools and pipelines. Performs related duties & responsibilities as assigned/requested. Qualifications REQUIRED
-
of a 5-year strategic plan. We invite you to learn more about us by visiting https://mgm.ufl.edu/ and https://epi.ufl.edu/. We are seeking an outstanding and creative investigator. Collaborate
-
aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards ) provides detailed information on Stanford's extensive range of benefits and
-
Toward Scalable and Sustainable AI Across Heterogeneous Resources Supervisor: Frédéric Giroire, CNRS Director of Research, 3IA chair holder. https://www-sop.inria.fr/members/Frederic.Giroire
-
-performance computing systems, GPU acceleration, and parallel file systems - Ability to communicate fluently in English, both spoken and written Additional qualifications - Knowledge of or interest in
-
ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA INDUSTRIALE | Italy | about 1 month ago
Description Analysis and development of methodologies to accelerate the computation of numerical optimization through parallelization and the use of GPUs. Where to apply Website http://www.unibo.it Requirements