Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- CNRS
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Virginia Tech
- Nature Careers
- Cornell University
- Inria, the French national research institute for the digital sciences
- Technical University of Munich
- Delft University of Technology (TU Delft)
- Duke University
- National Hellenic Research Foundation
- Northeastern University
- Universidade de Coimbra
- University of Luxembourg
- Aalborg University
- Argonne
- Central China Normal University
- Chalmers University of Technology
- Chalmers tekniska högskola
- Chinese Academy of Sciences
- Delft University of Technology (TU Delft); Published today
- ETH Zürich
- FAPESP - São Paulo Research Foundation
- Forschungszentrum Jülich
- Fudan University
- INRAE
- Japan Agency for Marine-Earth Science and Technology
- KTH Royal Institute of Technology
- Karlsruher Institut für Technologie (KIT)
- King Abdullah University of Science and Technology
- Lawrence Berkeley National Laboratory
- Linköping University
- Lunds universitet
- Massachusetts Institute of Technology
- Massachusetts Institute of Technology (MIT)
- NEW YORK UNIVERSITY ABU DHABI
- SUNY University at Buffalo
- South Dakota Mines
- Technical University of Denmark
- Texas A&M University
- The Ohio State University
- The University of Arizona
- The University of Edinburgh;
- UNIVERSITY OF VIENNA
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- University of California
- University of California, Merced
- University of Central Florida
- University of Florida
- University of Hamburg
- University of Lund
- University of Miami
- University of Minho
- University of Minnesota
- University of North Carolina at Chapel Hill
- University of Oxford
- University of Southern California
- University of Southern California (USC)
- University of Warsaw
- Université de Namur
- Zintellect
- 50 more »
- « less
-
Field
-
date). Strong background in power systems analysis (OPF, state estimation) and numerical optimization/control. Proficiency with Python/MATLAB and power-system toolchains (e.g., MATPOWER/OpenDSS
-
networks, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our
-
developing machine learning surrogates and emulators for dynamical systems. Proficiency in managing large datasets and training with GPU-enabled computing resources. Expertise in numerical optimization and
-
demonstrating a proof of concept for low-power logic gates based on spin waves. The work involves experimental research. The post-doc will be responsible for: - the growth and optimization of magnetic thin films
-
system optimization for remote construction. This position will focus on advancing research in construction assembly science and technology, logistics optimization, and real-time communication frameworks
-
systems. The individual will be responsible for: • Develop and implement models for the structural and mechanical performance and optimization of mass timber systems, using data-driven approaches
-
advancements and practical implementations optimized for modern HPC systems. The postdoc will primarily contribute to one or more of the following research areas: Development of efficient numerical linear
-
network models. Of particular interest are candidates who have a background and/or interest in one or more of the following: optimization and optimal control (esp. optimal control of partial differential
-
, and network optimization for 6G networks and FutureG wireless networks. Successful candidates will have the chance to work with top-notch researchers from both academia and industry on future wireless
-
to the large-scale nature, complexity, and heterogeneity of 6G networks, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal