Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Forschungszentrum Jülich
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Nature Careers
- CNRS
- Ecole Centrale de Lyon
- KU LEUVEN
- Aalborg University
- Fraunhofer-Gesellschaft
- Inria, the French national research institute for the digital sciences
- Technical University of Denmark
- Technical University of Munich
- University of Stuttgart •
- Aalborg Universitet
- LEM3
- Linköping University
- University of North Carolina at Chapel Hill
- University of Southern Denmark
- University of Twente
- cnrs
- Abertay University
- Aix-Marseille Université
- BRGM
- CNRS UMR6614 CORIA
- DAAD
- Empa
- Fritz Haber Institute of the Max Planck Society, Berlin
- Goethe University Frankfurt •
- Hannover Medical School •
- Heidelberg University
- Heidelberg University •
- INRIA
- Institut National des Sciences Appliquées de Lyon
- KNAW
- Leibniz
- Saarland University
- Tallinn University of Technology
- The University of Manchester
- Tilburg University
- UNIVERSIDAD DE LAS PALMAS DE GRAN CANARIA
- Universite de Montpellier
- University Hospital Würzburg
- University of Bamberg •
- University of Bremen •
- University of Graz
- University of Konstanz •
- University of Newcastle
- University of Oxford;
- University of South-Eastern Norway
- University of Stavanger
- University of Twente (UT)
- Université de Poitiers
- Uppsala universitet
- 43 more »
- « less
-
Field
-
the VILLUM FONDEN. The overall aim of the project is to introduce microstructural engineering to the field of additive manufacturing (AM) of metals. This is to set the stage for optimizing metals
-
Vacancies PhD Position - Developing methods for multi-disease test evaluation Key takeaways Background and Challenge In healthcare, numerous "multi-disease tests" are quickly appearing. They aim
-
modeling to create a predictive tool that spans orders of magnitude in length and time. Hands-On Numerical Modeling: Implement your model in a custom-made data analysis tool that uses advanced optimization
-
Institut National des Sciences Appliquées de Lyon | Villeurbanne, Rhone Alpes | France | 11 days ago
with the physical principles of structural dynamics and (vibro-)acoustics and the related numerical modeling techniques, such as the Finite Element Method (FEM), as well as numerical optimization
-
of the position. The successful candidate will have a solid theoretical foundation in one or more of the topics: Computational Mechanics, Finite Element Analysis (FEA), Numerical Optimization
-
selection criteria Experience with AI / probabilistic AI / Machine Learning / Reinforcement Learning Experience with numerical optimization and MPC Strong programming skills (Python, C) Personal
-
Experience with AI / probabilistic AI / Machine Learning Experience with numerical optimization and MPC Strong programming skills (Python, C) Experience with predictive maintenance, fatigue, fault detection
-
) for general criteria for the position. Preferred selection criteria Experience with AI / probabilistic AI / Machine Learning Experience with numerical optimization and MPC Strong programming skills (Python, C
-
peak competences in decision-making, optimization, control, and AI for cyber-physical systems. The position will be part of the research centre the Norwegian Center on AI for Decision (aiD) cooperating
-
– derivatives, wave functions, linear algebra, differential equations, numerical optimization. Some background in solid-state physics, optics, electrical engineering, chemistry, and/or materials science