Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Argonne
- CNRS
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Nature Careers
- Princeton University
- ETH Zurich
- Oak Ridge National Laboratory
- Technical University of Denmark
- Cornell University
- Institut Pasteur
- National University of Singapore
- Stony Brook University
- University of North Carolina at Chapel Hill
- University of Southern Denmark
- Blekinge Institute of Technology
- Brookhaven Lab
- CEA
- Chalmers University of Technology
- Chongqing University
- Forschungszentrum Jülich
- Fudan University
- Ghent University
- IMT
- Illinois Institute of Technology
- Inria, the French national research institute for the digital sciences
- Karolinska Institutet
- Karolinska Institutet (KI)
- Linköping University
- Linnaeus University
- Los Alamos National Laboratory
- North Carolina A&T State University
- Northeastern University
- RIKEN
- SUNY University at Buffalo
- Technical University of Munich
- Umeå University
- University of British Columbia
- University of Delaware
- University of Kansas
- University of Maryland
- University of Oxford
- University of St. Thomas
- University of Washington
- Virginia Tech
- 34 more »
- « less
-
Field
-
backgrounds in: Civil, Architectural, and Environmental Engineering, Computer and Software Engineering, Computer Science, or a related discipline such as Mechanical Engineering. Candidates must have completed a
-
interdisciplinary team focused on developing innovative numerical algorithms and software to address emerging challenges in scientific computing and machine learning. The research will emphasize both theoretical
-
involved in or lead major projects to understand the genetic architecture of molecular traits alone and in interaction with the environment. S(h)e will help in defining the direction of scientific work
-
Science, with a solid background in Software Engineering and Distributed Systems. She/he must also have a (very) good knowledge and interest in Cloud/Edge computing. Knowledge in distributed/cloud storage systems