Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- DePaul University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Oak Ridge National Laboratory
- SUNY University at Buffalo
- Stanford University
- University of North Carolina at Chapel Hill
- Argonne
- Technical University of Denmark
- Technical University of Munich
- University of Central Florida
- ;
- ; The University of Edinburgh
- AALTO UNIVERSITY
- Chalmers University of Technology
- Duke University
- Durham University
- Forschungszentrum Jülich
- Imperial College London
- Indiana University
- Los Alamos National Laboratory
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- NEW YORK UNIVERSITY ABU DHABI
- Pennsylvania State University
- SciLifeLab
- Stony Brook University
- Texas A&M University
- University of Electronic Science and Technology of China (UESTC)
- University of Massachusetts
- University of Oslo
- University of Virginia
- University of Washington
- VIB
- Vrije Universiteit Brussel
- Western Norway University of Applied Sciences
- 25 more »
- « less
-
Field
-
PV inverters), synchronous generators, loads, etc. Develop simulation algorithms that enable large-scale simulations. Integrate (or co-simulate) grid component/device models into open-source software
-
. Understanding of machine learning algorithms (gradient descent, random forests, etc.) and deep neural network architectures (ResNet and Transformers). A broad understanding of machine learning methodologies and
-
twins together with two PhD students, especially to propose new models and algorithms for complex maneuvers, and building a parametric autonomous model of drivers reproducing a close to reality human
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 18 hours ago
looking for a postdoctoral fellow interested in developing either machine learning algorithms for high-resolution histopathology imaging/spatial-profiling data in combination with other modalities (e.g
-
this interdisciplinary project, we are looking for a strong candidate to contribute to the development of quantum algorithms and applications, focusing on quantum walks and quantum machine learning on graph structures
-
computer science with very good results - Interest on topics around the area of distributed systems and data management - Basic knowledge in distributed systems and graph algorithms is desired - Hand-on experience