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
- Heidelberg University
- Technical University of Denmark
- The Ohio State University
- University of California, Merced
- University of North Texas at Dallas
- ; King's College London
- AALTO UNIVERSITY
- Aarhus University
- Brookhaven Lab
- Erasmus University Rotterdam
- Florida International University
- Forschungszentrum Jülich
- George Washington University
- Heriot Watt University
- ICN2
- IMT
- Indiana University
- Los Alamos National Laboratory
- 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 Oklahoma
- University of South Carolina
- Utrecht University
- Örebro University
- 28 more »
- « less
-
Field
-
parallel computing techniques including working in the cloud. Preferred Qualifications Education: No additional education beyond what is stated in the Required Qualifications section. Certifications
-
Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
mathematics, or a related field Candidates should have expertise in two or more of the following areas: Uncertainty quantification, numerical solutions of differential equations, and stochastic processes
-
parallel computing techniques including working in the cloud. Preferred Qualifications Education: No additional education beyond what is stated in the Required Qualifications section. Certifications
-
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
-
chemical processes in complex condensed-phase systems, e.g., aqueous solutions, semiconductor interfaces, and polymers. These complex condensed-phase systems will be treated using first-principles machine
-
closure modeling and/or high performance computing environments (MPI, CUDA) • Expertise in software development and computing tools (C/C++, python, git, parallel computing, etc.) • Experience with deep
-
with ab initio methods. Proficiency in software such as VASP, Quantum ESPRESSO, Critic2 and Gibbs2. Experience in high-performance computing and parallel processing. Additional Qualifications Considered
-
processes in internal combustion engines (ICEs), such as fuel injection, combustion, heat transfer, etc. Improve, develop, and implement CFD sub-models necessary to enable predictive ICE simulations
-
platform enables us to test hundreds of different conditions in parallel and assess their impacts on human immune responses, such as antibody production. We routinely work with industry partners to exploit
-
the Environmental Risk and Energy Analysis Group. The candidate will work with a multi-disciplinary group of experts in economics, engineering, computer sciences, and physical sciences on the economics and policy