Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Oak Ridge National Laboratory
- ETH Zurich
- National University of Singapore
- Pennsylvania State University
- Stony Brook University
- King Abdullah University of Science and Technology
- Nanyang Technological University
- The University of Chicago
- University of Oxford
- Virginia Tech
- Carnegie Mellon University
- Imperial College London
- University of Texas at Austin
- Northeastern University
- Rutgers University
- Technical University of Munich
- University of Florida
- University of Texas at Arlington
- Duke University
- Earlham Institute
- Fraunhofer-Gesellschaft
- HHMI
- North Carolina State University
- University of Alabama at Birmingham
- University of California
- University of Minnesota
- University of Pittsburgh
- VIB
- CNRS
- California Institute of Technology
- Curtin University
- Delft University of Technology (TU Delft)
- EPFL
- Harvard University
- King's College London
- Max Planck Institute for Marine Microbiology
- Michigan Technological University
- Monash University
- NEW YORK UNIVERSITY ABU DHABI
- NIST
- The Ohio State University
- University of Bristol
- University of Delaware
- University of Glasgow
- University of Lund
- University of Luxembourg
- University of Nevada Las Vegas
- University of New South Wales
- University of North Carolina Wilmington
- University of Southern California
- University of Toronto
- University of Vermont
- ;
- ARQUIMEA RESEARCH CENTER
- Aarhus University
- Aarhus University (AU)
- Autonomous University of Madrid (Universidad Autónoma de Madrid)
- Birkbeck University of London
- Birkbeck, University of London;
- Blekinge Institute of Technology
- California State University, San Bernardino
- CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences
- Chalmers University of Technology
- Cornell University
- ETH Zürich
- European Molecular Biology Laboratory (EMBL)
- European University Institute
- Forschungszentrum Jülich
- Georgetown University
- Human Technopole
- Iliad
- Imperial College London;
- Inria, the French national research institute for the digital sciences
- Johns Hopkins University
- KTH Royal Institute of Technology
- King's College London;
- Koç University
- Lunds universitet
- MASARYK UNIVERSITY
- Marist College
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- Max-Planck-Institut für Struktur und Dynamik der Materie
- Meta/Facebook
- Missouri University of Science and Technology
- Purdue University
- Research Center for Molecular Medicine (CeMM), ÖAW
- SAIT Polytechnic
- Tallinn University of Technology
- Texas A&M University
- Texas A&M University System
- The California State University
- The University of Edinburgh;
- The University of Skövde
- Timaeus Research
- UNIVERSITY OF HELSINKI
- Universidad de Alicante
- Universidade da Madeira
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- Universitat de les Illes Balears
- University of A Coruña
- 90 more »
- « less
-
Field
-
performance GPU computing — whether through thousands of commercial GPUs or a handful of Nvidia NVL72 racks — and specialized signal processing hardware. Automation: Develop and implement automated processes
-
systems and underwater imaging. 4. Linux system administration and scientific computing workflows, including environment management, GPU-accelerated workloads, and remote/headless operation. 5. Familiarity
-
functioning in a dynamic technological environment. Preferred Qualifications: Experience with parallel computing, GPU operation (CUDA Toolkit), multi-GPU training, and distributed frameworks for machine
-
, storage systems, networking, scripting, and infrastructure automation. Experience with GPU computing environments, containerisation technologies, cloud platforms, and scientific software environments will
-
Computing) at King's College London is expanding with the mission to help enable and facilitate computational and data-intensive research across KCL Faculties. We regularly add to our HPC cluster and Cloud
-
, networking, and GPU utilization. Help maintain reproducible training recipes, configuration files, launch scripts, and documentation. Work with researchers and CSCS engineers to improve the reliability and
-
and developing sustainable engineering solutions. Evaluate and introduce emerging technologies, architectures, and engineering approaches, including HPC, AI/ML, GPU computing, containers, and other
-
, electrical engineering and computer science to design highly efficient and sensitive imaging and inference approaches to help guide diagnosis and treatment in cardiovascular patients. Project background
-
Faculty.Instructor.Adjunct Electrical and Computer Engineering - Pennsylvania-Pittsburgh - (26005016) Qualifications: Ph.D. in Electrical Engineering with expertise in electrical power systems ECE
-
Faculty.Instructor.Adjunct Electrical and Computer Engineering - Pennsylvania-Pittsburgh - (26005055) Qualifications: Ph.D. in Electrical Engineering with expertise in electrical power systems ECE