Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- CNRS
- Nature Careers
- University of Luxembourg
- DAAD
- Technical University of Denmark
- University of Stuttgart •
- Heidelberg University •
- Inria, the French national research institute for the digital sciences
- Leibniz
- Universite de Moncton
- University of North Carolina at Chapel Hill
- University of Twente
- Vrije Universiteit Brussel
- Zürcher Hochschule für Angewandte Wissenschaft ZHAW
- AMOLF
- Abertay University
- Arts et Métiers Institute of Technology (ENSAM)
- Chalmers University of Technology
- Chalmers University of Techonology
- Duke University
- European Magnetism Association EMA
- Fluxim AG
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- Fureho AB
- Ghent University
- Goethe University Frankfurt •
- Graz University of Technology
- Hannover Medical School •
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- IMT Nord Europe
- Imperial College London
- KNAW
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- National Research Council Canada
- Paul Scherrer Institut Villigen
- RWTH Aachen University
- UNIVERSIDAD POLITECNICA DE MADRID
- Universidade de Coimbra
- Universite de Montpellier
- University of Adelaide
- University of Bamberg •
- University of Bremen •
- University of British Columbia
- University of Groningen
- University of Konstanz •
- University of Newcastle
- University of Twente (UT)
- University of Twente (UT); Enschede
- Virginia Tech
- WIAS Berlin
- 42 more »
- « less
-
Field
-
Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 7 days ago
://www.cmap.polytechnique.fr/~aymeric.dieuleveut/ ), professor at Ecole Polytechnique (Palaiseau). The successful candidate will implement and compare different distributed numerical optimization paradigms, that include
-
Europe and UCLA), the PhD candidate will carry out both experimental and numerical investigations to develop an innovative tool for design optimization leading to cost-effective and advanced vortex
-
the flexibility to change the transmit waveform and signal processing units on the fly. Personnel at SPARC have contributed to several seminal papers, book chapters, and books in the fields of waveform optimization
-
well as to optimize the tooling geometry. These process simulations require efficient numerical algorithms to be practical and to enable robust optimization. Therefore, in this project you will: Develop efficient
-
live in. Your role To this end, one PhD student will be hired to perform research in the domain of quantum computing applied to optimization problems with possible topics covering: Variational quantum
-
numerical optimization and simulation models. Proficiency in one of the major programming languages such as Python A collaborative team player with a desire to make a personal impact within our
-
well as surface and bond properties Determination of sorption properties of An-MOFs towards fission products Development of novel An-MOFs with optimized sorption properties Presentation of the results in scientific
-
controlled power electronics to optimize the overall efficiency of electromechanical conversion. Ultimately, the system will be integrated into two thermal energy conversion cycles: a thermochemical cycle and
-
to optimization problems with possible topics covering: Variational quantum algorithms for optimization Quantum annealing Quantum inspired optimization Quantum machine learning with a special emphasis on classical
-
of the institute includes numerical simulation of wave propagation processes, modeling of porous media (e.g. concrete), optimization of sustainable buildings and analysis-suitable CAD models. About us Graz