Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Argonne
- Nature Careers
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Oak Ridge National Laboratory
- CNRS
- Princeton University
- Mohammed VI Polytechnic University
- NEW YORK UNIVERSITY ABU DHABI
- Technical University of Denmark
- Biology Centre CAS
- DURHAM UNIVERSITY
- Forschungszentrum Jülich
- Leibniz
- Stanford University
- University of California, Merced
- University of Minnesota
- University of North Texas at Dallas
- University of Washington
- Wayne State University
- ;
- ; Durham University
- AALTO UNIVERSITY
- Barnard College
- Brookhaven Lab
- Central China Normal University
- Chalmers University of Technology
- Chongqing University
- Danmarks Tekniske Universitet
- Delft University of Technology (TU Delft)
- ETH Zurich
- Ecole Centrale de Nantes
- George Washington University
- Graz University of Technology
- Heidelberg University
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ
- Heriot Watt University
- ICN2
- IMT
- IMT - Institut Mines-Télécom
- Inria, the French national research institute for the digital sciences
- Instituto Superior Técnico
- International Institute of Molecular and Cell Biology in Warsaw
- KU Leuven
- Los Alamos National Laboratory
- Max Planck Institute for Solid State Research, Stuttgart
- McGill University
- Medical College of Wisconsin
- National Renewable Energy Laboratory NREL
- Northeastern University
- Technical University of Delft
- Technical University of Munich
- Texas A&M University
- The Ohio State University
- Télécom Paris
- UNIVERSITY OF VIENNA
- Universitat de Barcelona
- University College Dublin
- University of California
- University of California Los Angeles
- University of California, Santa Cruz
- University of Cincinnati
- University of Colorado
- University of Gdansk
- University of Houston Central Campus
- University of Illinois - Chicago
- University of Kansas
- University of London
- University of Natural Resources and Life Sciences, Vienna
- University of New South Wales
- University of North Carolina at Chapel Hill
- University of Oklahoma
- University of Oxford
- University of South Carolina
- University of South Florida
- Université Grenoble Alpes
- Wageningen University and Research Center
- 67 more »
- « less
-
Field
-
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
-
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
-
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
-
phage activation rate, will be described explicitly and left free to evolve in the model. This project runs parallel to and in close collaboration with experimental evolution studies of host-phage
-
lattice field 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
-
optic cable can replace thousands of electrical links to transmit the same amount of information. As parallels to the thriving field of stretchable electronics, soft optics is emerging as a new platform
-
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
-
amounts to 720 000 SEK in total (360 000 SEK annual average) and is usually paid out as four separate payments during scholarship period. This project is running in parallel with another larger project with
-
into algorithms for the Lov sz Local Lemma and related problems in distributed and parallel models. Research will primarily be conducted in collaboration with Dr. Davies-Peck, but successful applicants will also be
-
algorithms in the context of sparse tensor operations and apply them to real-world datasets. Parallel Computing: Explore opportunities for parallelism in the tensor completion process to enhance computational