Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nature Careers
- Argonne
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- University of North Carolina at Chapel Hill
- National Aeronautics and Space Administration (NASA)
- Princeton University
- ;
- European Space Agency
- Oak Ridge National Laboratory
- Technical University of Munich
- University of Oxford
- Aarhus University
- Baylor College of Medicine
- Central China Normal University
- Chalmers University of Technology
- Chinese Academy of Sciences
- Cornell University
- ETH Zurich
- Fudan University
- Johann Radon Institute for Comp. and Applied Mathematics
- King Abdullah University of Science and Technology
- Leibniz
- Linköping University
- Los Alamos National Laboratory
- NEW YORK UNIVERSITY ABU DHABI
- New York University
- Purdue University
- Technical University of Denmark
- Texas A&M University
- The Ohio State University
- The University of Iowa
- Umeå University
- University of Arkansas
- University of British Columbia
- University of Cincinnati
- University of Hull
- University of Kansas
- University of Liverpool
- University of Lund
- University of Minnesota
- University of Minnesota Twin Cities
- University of South Carolina
- University of Texas at Arlington
- University of Virginia
- University of Washington
- Zintellect
- 36 more »
- « less
-
Field
-
will focus on studying the impact of pharmacist involvement in self-measured of blood pressure. This position will offer numerous opportunities for the right candidate to hone their experimental, project
-
developing machine learning surrogates and emulators for dynamical systems. Proficiency in managing large datasets and training with GPU-enabled computing resources. Expertise in numerical optimization and
-
Postdoctoral position in fabrication of hollow-core optical fibers for next-generation communication
postdoctoral researcher, will mainly carry out: optimization of both fiber preform preparation and fiber drawing processes so as to reliably fabricate HCFs with desired geometrical parameters for an extended
-
finite-element simulation and topological optimization of light guidance in HCFs, and numerical simulation of thermo- and fluid dynamics under fiber-drawing processes. Apart from the main tasks above, the
-
propagation problems, stochastic partial differential equations, geometric numerical integration, optimization, biomathematics, biostatistics, spatial modeling, Bayesian inference, high-dimensional data, large
-
of novel strategies for neuronal analysis in health and disease and optimizing novel methods. The project is funded by My Name’5 Doddie Foundation, as part of their Catalyst Awards. Using iPSC-neurons, our
-
access to state-of-the-art numerical models and high-performance computing systems at Princeton and in NOAA, working alongside GFDL model developers and software engineers to advance quality assurance and
-
scientist and engineers at the University of Cincinnati as well as Procter & Gamble across numerous scientific domains. Utilize mathematical modeling, statistical techniques, chemistry, physics, and
-
. We leverage advanced technologies like semantic data processing, signal processing, and network resource management to enhance performance. To optimize and analyze complex 6G networks, we use AI/ML
-
. The HEXAPIC project aims to develop a novel high-performance Particle-In-Cell (PIC) code for plasma physics simulations, leveraging the capabilities of exascale computing systems. By optimizing PIC algorithms