Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- Oak Ridge National Laboratory
- McGill University
- The University of Chicago
- National Renewable Energy Laboratory NREL
- The University of Alabama
- Blekinge Institute of Technology
- ETH Zurich
- Forschungszentrum Jülich
- Inria, the French national research institute for the digital sciences
- Singapore Institute of Technology
- University of Delaware
- University of Lund
- University of Michigan
- <span lang="en">TUD Dresden University of Technology</span>
- AALTO UNIVERSITY
- Aalborg University
- Aalto University
- CNRS
- Chalmers University of Technology
- Coast Community College District
- Cornell University
- George Mason University
- Harvard University
- Linköping University
- MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE
- Mohamed bin Zayed University of Artificial Intelligence
- NEW YORK UNIVERSITY ABU DHABI
- NIST
- Nanyang Technological University
- National Research Council Canada
- Northeastern University
- Purdue University
- Rutgers
- Rutgers University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- St Jude Children's Research Hospital
- Technical University of Denmark
- Technische Universität Dresden (TU Dresden)
- The University of Iowa
- University of Cadiz
- University of Colorado
- University of Louisville
- University of Nevada Las Vegas
- University of Notre Dame
- University of Tasmania
- University of Tennessee at Chattanooga
- University of Tübingen
- University of Washington
- higheredjobs
- 39 more »
- « less
-
Field
-
consist of incorporating our physical findings into the GlaDS model by representing a distributed drainage system in which conduits and cavities are connected in series. The candidate will be required to
-
programmers and can target different hardware architectures (multicore, GPUs, FPGAs, and distributed machines). In order to have the best performance (fastest execution) for a given Tiramisu program, many
-
coursework (examples): Computational physics/scientific computing and numerical methods for PDEs High‑performance computing (parallel distributed programming, GPU programming) Astrophysical fluid dynamics
-
wide range of research and teaching interests, with priority given to: cybersecurity, artificial intelligence, systems (including embedded, distributed, parallel, and high-performance), software
-
from multiple one-to-many tables, following written specifications, and using SQL or an equivalent data tool. They also process data fields that run in parallel using loops and arrays. The work
-
Übersicht Platform Engineer (HPC & AI Infrastructure) 80%-100%, Zurich, permanent Drucken The High Performance Computing group at ETH Zurich provides world-class HPC and AI/ML infrastructure to
-
31st December 2032. About Us The ML Cloud team designs, runs and safeguards high-performance computing infrastructure tailored to machine learning workloads. Our state of the art systems are
-
enhancements. In-depth knowledge of business strategy and operations. Strong analytical and problem-solving skills. Knowledge of PC, distributed computing environments, and an understanding of
-
management, high-performance computing (HPC), GPU acceleration, and parallel file systems Documented experience in leading staff and operations supporting bioinformatics and developing bioinformatics
-
, and visualization to support biological research and integrative data analysis. Advanced knowledge of the distributed and parallel High Performance computing environments Behavioural competencies