Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Fraunhofer-Gesellschaft
- Technical University of Munich
- Leibniz
- Humboldt-Stiftung Foundation
- DAAD
- Nature Careers
- Forschungszentrum Jülich
- Dresden University of Technology •
- Friedrich Schiller University Jena •
- Max Planck Institute of Geoanthropology, Jena
- Max Planck Institute of Molecular Plant Physiology •
- Technische Universität Darmstadt
- University of Göttingen •
- University of Stuttgart •
- University of Tübingen
- 5 more »
- « less
-
Field
-
methods (such as Machine Learning, Metric Learning, Reinforcement Learning, Graph Representation Learning, Generative Models, Domain Adaptation, etc.) for Design Automation applications. To this end, we
-
investigation of the aerodynamic performance of advanced future compressor stages, support-ed by numerical modelling and simulations of performance-enhancing design features. In this research project you will be
-
more interested in software development? Or maybe you enjoy modeling? We are still the right place to be with our work on creating digital twins of components and test rigs, and due to our software
-
apply your knowledge and expertise to improve and validate the accuracy of wind farm shadow flow models. Perhaps you are more interested in the simulation of wind turbine aerodynamics? Or maybe you enjoy
-
/model checking, probabilistic or timed systems, automated theorem proving (Isabelle, Coq). Besides, we strongly appreciate experience with developer activities as described below. Developer: Your tasks
-
capacity, energy consumption, and costs Tool and model integration To learn more about our previous work, please check out our website (www.cda.cit.tum.de/research/etcs/ ) and open-source implementations
-
compressor stages, supported by numerical modelling and simulations of performance-enhancing design features. In this research project you will be able to experience hands-on testing of a high-speed and engine
-
applications. For an overview of our previous work, please check out our web pages on software/design automation for microfluidics (www.cda.cit.tum.de/research/microfluidics/ ). In the future, we are aiming
-
on superconducting quantum computers Developing algorithms to decompose (arbitrary) unitaries into native operations of a given target system Optimizing circuits taking error models of actual hardware into account