Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Virginia Tech
- Nature Careers
- Technical University of Munich
- Durham University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- University of North Carolina at Chapel Hill
- ;
- Argonne
- Chalmers University of Technology
- KINGS COLLEGE LONDON
- Leibniz
- SUNY University at Buffalo
- Stanford University
- University of Cambridge
- University of Tübingen
- Brookhaven Lab
- Brookhaven National Laboratory
- Institut Pasteur
- Institute of Mathematics and Informatics
- Max Planck Institute of Biochemistry, Martinsried
- McGill University
- NEW YORK UNIVERSITY ABU DHABI
- New York University
- SciLifeLab
- Slovak Academy of Sciences
- The University of Arizona
- UNIVERSITY OF HELSINKI
- UNIVERSITY OF VIENNA
- Umeå University
- University of British Columbia
- University of Central Florida
- University of Massachusetts
- University of Oxford
- University of South Carolina
- University of Texas at Arlington
- University of Virginia
- Washington University in St. Louis
- 27 more »
- « less
-
Field
-
equality, representation, progression and success for all in academia. The Department also supports the London Mathematical Society Good Practice Scheme, whose aim is to support mathematics departments embed
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
at Chapel Hill invites applications for a Postdoctoral Research Associate position in the fields of algebra, geometry, topology, representation theory and mathematical physics. This position is for one year
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
research environment and advance knowledge within their fields. Postdocs are crucial members of our scientific research workforce, contributors to our research outputs and an important reason why Carolina is
-
with symbolic knowledge representation are applied (Neurosymbolic AI). The position is related to the BMBF project Plattform MaterialDigital III (PMD III, 2025-2028) in the department of Knowledge
-
materials science • Extensive knowledge of computer-based modelling and simulation methods in materials science of metals, e. g. Calphad method, precipitation simulation, cellular automata, kinetic Monte