Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Argonne
- Nature Careers
- University of Washington
- Imperial College London
- Washington University in St. Louis
- European Space Agency
- Forschungszentrum Jülich
- Heidelberg University
- KINGS COLLEGE LONDON
- Princeton University
- Stanford University
- Technical University of Denmark
- The Ohio State University
- University of California, Merced
- University of North Texas at Dallas
- Wayne State University
- ;
- ; Technical University of Denmark
- ; University of Copenhagen
- AALTO UNIVERSITY
- Aarhus University
- Brookhaven Lab
- Case Western Reserve University
- Central China Normal University
- Chalmers University of Technology
- Erasmus University Rotterdam
- European Magnetism Association EMA
- Florida International University
- George Washington University
- Heriot Watt University
- ICN2
- IMT
- Indiana University
- Institute of Photonic Sciences
- Los Alamos National Laboratory
- Max Planck Institute for Nuclear Physics, Heidelberg
- McGill University
- Medical College of Wisconsin
- Northeastern University
- Oak Ridge National Laboratory
- Texas A&M University
- The University of Iowa
- UNIVERSITY OF SYDNEY
- University of Cincinnati
- University of Copenhagen
- University of North Carolina at Chapel Hill
- University of Oklahoma
- University of Oxford
- University of South Carolina
- VIB
- Örebro University
- 42 more »
- « less
-
Field
-
PhD degree in Computer Science, Physics or a related field Experience with parallel programming models Strong programming skills in C/C++ and/or Python Knowledge of distributed memory programming with
-
with Python and R programming languages. Experience with functional genomic technologies including massively parallel reporter assays. Biomedical informatics or biomedical research experience. Preferred
-
than 30 people, including parallel post-doctoral researchers in four other countries, and led by Prof Ben Baumberg Geiger at King’s. Secondly, it’s located within the Centre for Society and Mental Health
-
Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
: Expertise in rare event simulation, deep learning, and developing computationally efficient approaches for simulation and modeling in complex systems is highly desirable Experience with parallel computing
-
McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 2 months ago
imaging system based on the random access parallel imaging (RAP) system platform (https://doi.org/10.7554/eLife.56426 ). The RAP platform quickly collects high-contrast images in multi-well plates using
-
parallel computing techniques including working in the cloud. Preferred Qualifications Education: No additional education beyond what is stated in the Required Qualifications section. Certifications
-
parallel computing techniques including working in the cloud. Preferred Qualifications Education: No additional education beyond what is stated in the Required Qualifications section. Certifications
-
theory and numerical methods, with experience in HPC programming (e.g., C++, Python, MPI, OpenMP, CUDA) and parallel computing environments. - Experience in performance analysis, debugging, and deployment
-
coarse- grained models of proteins within condensates). These topics share deep conceptual parallels. By advancing concepts in non-equilibrium statistical physics, the group aims to uncover the general
-
• Familiarity with operating HPC clusters (e.g., bash, Python) Preferred Qualifications • HPC programming skills (e.g., modern Fortran or C/C++) • Parallel programming skills (e.g., OpenMP, MPI, OPENACC, CUDA