Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- University of North Carolina at Chapel Hill
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Argonne
- Max Planck Institute (MPI) for Psycholinguistics
- Yale University
- Forschungszentrum Jülich
- NEW YORK UNIVERSITY ABU DHABI
- Duke University
- Embry-Riddle Aeronautical University
- Empa
- European Magnetism Association EMA
- Georgia State University
- Heriot Watt University
- INESC ID
- Imperial College London
- Massachusetts Institute of Technology
- Massachusetts Institute of Technology (MIT)
- McGill University
- Nature Careers
- Northeastern University
- Northumbria University;
- Oak Ridge National Laboratory
- Reykjavik University
- Technical University of Munich
- The University of Arizona
- University of Antwerp
- University of Houston Central Campus
- University of Massachusetts Medical School
- University of Minnesota
- University of Minnesota Twin Cities
- University of North Texas at Dallas
- University of Texas at Arlington
- 22 more »
- « less
-
Field
-
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
-
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
-
Position Announcement - Mohammed VI Polytechnic University (UM6P), College of Agriculture and Environmental Science (CSAES), AgroBioSciences program (AgBS), Job Title - Vacancy for Post-Doctoral
-
mathematics and engineering. The Interpretable Machine Learning Lab has dedicated access to high-performance CPU and GPU computing resources provided by Duke University’s Research Computing unit and state
-
and H100 GPUs, combined with pre-processed large-scale biobank data such as UK Biobank and ADSP, enabling you to work at the scale required for breakthrough research. The role offers exceptional
-
completed Ph.D. within the last 5 years in Computational Biology, Bioinformatics, Machine Learning, Artificial Intelligence, Virology, or a related field Strong programming skills in Python, R, or Julia, with
-
will create a personalized training and development plan with the supervisor. Minimum Qualifications Currently has or is in the process of completing a PhD, MD/PhD, DPhil or equivalent terminal degree
-
libraries for modern architectures (e.g., GPUs). Exploration of linear algebra methods in computational physics applications and machine learning. Integrate and benchmark the GINGKO library, a sparse solver
-
techniques. Preferred Qualifications: Knowledge of HPC matrix, tensor and graph algorithms. Knowledge of GPU CUDA and HIP programming Knowledge on distributed algorithms using MPI and other frameworks such as
-
in GPU programming one or more parallel computing models, including SYCL, CUDA, HIP, or OpenMP Experience with scientific computing and software development on HPC systems Ability to conduct