Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- Nature Careers
- University of Colorado
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Oak Ridge National Laboratory
- Princeton University
- University of Washington
- Humboldt-Stiftung Foundation
- Swedish University of Agricultural Sciences
- ;
- Auburn University
- CNRS
- Nanyang Technological University
- University of Glasgow
- University of Texas at Austin
- Virginia Community College
- Forschungszentrum Jülich
- Technical University of Denmark
- University of British Columbia
- University of Michigan
- University of Sheffield
- KINGS COLLEGE LONDON
- University of California, San Diego
- Argonne
- Carnegie Mellon University
- DAAD
- Duke University
- ETH Zurich
- Fraunhofer-Gesellschaft
- Imperial College London
- Monash University
- NIST
- Rutgers University
- Stanford University
- University of California
- University of Dayton
- University of Minnesota
- University of Oklahoma
- Utrecht University
- Villanova University
- CEA
- Cold Spring Harbor Laboratory
- Columbia University
- Cranfield University
- Medical College of Wisconsin
- National University of Singapore
- Northeastern University
- Oregon State University
- SUNY University at Buffalo
- SciLifeLab
- Technical University of Munich
- The Ohio State University
- The University of Iowa
- UNIVERSITY OF SURREY
- UiT The Arctic University of Norway
- Umeå University
- University of California Davis
- University of California, Berkeley
- University of California, San Francisco
- University of Cambridge
- University of Delaware
- University of Lethbridge
- University of Texas at Dallas
- University of Toronto
- AALTO UNIVERSITY
- Amgen Scholars Program
- Baylor University
- Bellevue College
- Brookhaven Lab
- CSIRO
- California Institute of Technology
- Cedars Sinai Medical Center
- Curtin University
- Ecole Centrale de Lyon
- European Space Agency
- Fred Hutchinson Cancer Center
- Ghent University
- Harvard University
- Imperial College London;
- Institute of Science Tokyo
- Jane Street Capital
- Johns Hopkins University
- Leibniz
- Lunds universitet
- Max Planck Institute for Demographic Research (MPIDR)
- National Renewable Energy Laboratory NREL
- Reykjavik University
- Saint Louis University
- Stony Brook University
- The University of Alabama
- The University of Chicago
- The University of Queensland
- UNIVERSITY OF NOTTINGHAM NINGBO CHINA
- University of Bristol
- University of California, Los Angeles
- University of Cincinnati
- University of Florida
- University of London
- University of Lund
- University of North Texas at Dallas
- University of South Carolina
- 90 more »
- « less
-
Field
-
. The department’s 26 tenured/tenure-track faculty conduct state-of-the-art research in topics including artificial intelligence, cybersecurity, distributed systems, and parallel and scientific computing, and engage
-
- Computing: Experience with real datasets and parallel computing - Algorithm Development: Ability to develop and optimize Statistical algorithms for various applications. Research & Analytical Skills - Ability
-
: Rethinking AI for Just and Sustainable Futures programme. CFI is a highly interdisciplinary research centre addressing the challenges and opportunities posed by artificial intelligence (AI). Funded by
-
: Rethinking AI for Just and Sustainable Futures programme. CFI is a highly interdisciplinary research centre addressing the challenges and opportunities posed by artificial intelligence (AI). Funded by
-
. Strong background in numerical linear algebra, algorithm design, and parallel computing. Proficiency in programming languages such as python. Experience with HPC environments and linear algebra
-
of income, including other scholarships If you have applied for admission to a Master's programme in parallel: reference number and submission date of your application. Incomplete applications cannot be taken
-
are service-orientated, proactive, thorough and able to quickly find solutions to questions and problems. You enjoy managing multiple tasks in parallel and working independently, efficiently and in a
-
of parallel computing (GPUs) to speed solution within the optimisation process. Funding Notes 1st or 2:1 degree in Engineering, Materials Science, Physics, Chemistry, Applied Mathematics, or other Relevant
-
Description Primary Duties & Responsibilities: Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; Data management
-
Computing (HPC) knowledge around cluster builds, software, parallel computing, workload management, and cluster management. Knowledge with CUDA Programming Workflows, GPU programming, and GPU support