Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- CNRS
- DAAD
- Forschungszentrum Jülich
- University of Luxembourg
- Nature Careers
- Technical University of Denmark
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); today published
- Tallinn University of Technology
- University of Stuttgart •
- Delft University of Technology (TU Delft); yesterday published
- Fraunhofer-Gesellschaft
- Inria, the French national research institute for the digital sciences
- Leibniz
- Maastricht University (UM)
- UNIVERSIDAD POLITECNICA DE MADRID
- Universite de Moncton
- University of North Carolina at Chapel Hill
- Vrije Universiteit Brussel
- Zürcher Hochschule für Angewandte Wissenschaft ZHAW
- AMOLF
- Abertay University
- Arts et Métiers Institute of Technology (ENSAM)
- Biomedical Center, LMU Munich
- Centre Internacional de Mètodes Numèrics en la Enginyeria
- Chalmers University of Techonology
- Dublin City University
- Duke University
- European Magnetism Association EMA
- Fluxim AG
- Fraunhofer Institute for Wind Energy Systems IWES
- Fureho AB
- Goethe University Frankfurt •
- Graz University of Technology
- Hannover Medical School •
- Heidelberg University •
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- IMT Nord Europe
- Imperial College London
- KNAW
- Maastricht University (UM); 18 Oct ’25 published
- NTNU Norwegian University of Science and Technology
- Paul Scherrer Institut Villigen
- RWTH Aachen University
- Rice University
- Swansea University;
- The University of Edinburgh
- The University of Manchester;
- Universidade de Coimbra
- Universite de Montpellier
- University of Adelaide
- University of Amsterdam (UvA); 10 Oct ’25 published
- University of Bamberg •
- University of Bremen •
- University of British Columbia
- University of Groningen
- University of Konstanz •
- University of Newcastle
- University of Sheffield
- University of Twente
- University of Twente (UT)
- University of Twente (UT); Enschede
- Virginia Tech
- WIAS Berlin
- 54 more »
- « less
-
Field
-
dynamics and composites? Are you familiar with numerical simulation and optimization? You got some experience with data evaluation and analytics? Maybe you even have some knowledge of the wind industry and
-
material layers that can be optimized to specific battery chemistries and flow phenomena from the microscale up. The developed technologies will be validated in half-cells and full working batteries
-
affordable and durable long-duration energy storage. The approach is to use hierarchical structures, i.e. complex material layers that can be optimized to specific battery chemistries and flow phenomena from
-
dynamics and composites? Are you familiar with numerical simulation and optimization? You got some experience with data evaluation and analytics? Maybe you even have some knowledge of the wind industry and
-
or discrete probabilistic structures is beneficial but not required. What we offer: WIAS Berlin is a premier research institution known for its strength in optimization, optimal control, dynamical systems, and
-
. Perform sensitivity analysis, parameter estimation, and uncertainty quantification utilizing multiscale experimental data. Collaborate closely with experimentalists to iteratively refine models and optimize
-
possess superior scientific and numerical skills, as well as meticulous attention to detail and accuracy. Spanish language proficiency is preferred. About the Kinder Institute for Urban Research The Kinder
-
, GPUs, AI accelerators etc.) require high power demands with optimized power distribution networks (PDNs) to improve power efficiency and preserve power integrity. Integrated voltage regulators (IVRs
-
Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 2 months ago
small batteries do remain to be overtaken. These challenges can be summarized as: (i) computational efficiency/optimization, (ii) power efficiency, (iii) audio latency, and (iv) programmability
-
consumption while guaranteeing optimal power production. You will work on the cutting edge of both wind energy and machine learning, two of the fastest growing scientific disciplines, to develop graph-based