Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of North Carolina at Chapel Hill
- Argonne
- Nature Careers
- Technical University of Munich
- European Space Agency
- Imperial College London
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Oak Ridge National Laboratory
- Stony Brook University
- Technical University of Denmark
- Yale University
- ; Queen Mary University of London
- Brookhaven Lab
- Duke University
- Durham University
- Embry-Riddle Aeronautical University
- European Magnetism Association EMA
- Harvard University
- Heriot Watt University
- NEW YORK UNIVERSITY ABU DHABI
- Northeastern University
- The Ohio State University
- The University of Arizona
- UNIVERSITY OF HELSINKI
- University of Houston Central Campus
- University of Lund
- University of Minnesota
- University of Minnesota Twin Cities
- University of North Texas at Dallas
- University of South Carolina
- University of Texas at Arlington
- VIB
- 23 more »
- « less
-
Field
-
for modern heterogeneous architectures, including CPUs, GPUs, and other accelerators, the project seeks to achieve unprecedented efficiency and resolution in plasma simulations. This advancement will enable
-
, Probabilistic Inference, Algebraic Topology and Wavelet analysis theory. Familiar with Matlab/Python/C++ programming. Experience with Pytorch and multi-GPU model deployment. Experience in analyzing complex
-
Priority Programme SPP2311 (German Research Council), the Chair of Numerical Mathematics under the leadership of Frau Prof. Dr. Barbara Wohlmuth is seeking a candidate for a PhD or postdoctoral position (100
-
, Probabilistic Inference, Algebraic Topology and Wavelet analysis theory. Familiar with Matlab/Python/C++ programming. Experience with Pytorch and multi-GPU model deployment. Experience in analyzing complex
-
in Applied Mathematics, Computational Science and Engineering (CSE), or related fields with outstanding academic performance Strong programming skills and experience in languages such as C/C++, FORTRAN
-
for future research collaboration. To plan and manage own research activity, research resources in collaboration with others and contribute to the planning of research projects. To deliver training in research
-
. Experience in parallel programming (MPI, GPU, etc.). Proficiency in biostatistical methods. Ability to work independently and in group settings. Ability to learn quickly and apply new analytic techniques. Job
-
Boltzmann method (LBM), discrete Boltzmann method (DBM), and other kinetic models. Solid knowledge of fluid dynamics and heat transfer. Proficiency in programming languages such as C/C++, Fortran, Python
-
FWO-UGent funded bioinformatics postdocs: Unveiling the significance of gene loss in plant evolution
, or related fields Strong programming skills in Python, R, and experience with Linux environments Demonstrated experience in processing and analyzing large-scale genomic and transcriptomic datasets
-
for earth system science C++ programming skills and model simulations on GPUs E3SM, CESM, and WRF model experience Job Family Postdoctoral Job Profile Postdoctoral Appointee Worker Type Long-Term (Fixed Term