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- Eindhoven University of Technology (TU/e); today published
- Eindhoven University of Technology (TU/e)
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); yesterday published
- Delft University of Technology (TU Delft); today published
- European Space Agency
- Radboud University
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); today published
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and Mission Science team located at ESTEC (Noordwijk, Netherlands) to align the development of AI-driven methodologies and algorithms with the CHIME mission. Technical competencies Knowledge relevant
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opportunity to tackle these two complementary perspectives. In the first direction, you will develop advanced system identification techniques that combine nonlinear dynamics theory with machine learning tools
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the first direction, you will develop advanced system identification techniques that combine nonlinear dynamics theory with machine learning tools. The goal is to extract governing equations directly from
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particle physics, perform data analysis and develop object reconstruction algorithms in the ATLAS experiment. You will become a member of the ATLAS collaboration and will be based in Nijmegen. Furthermore
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turning point: decarbonization and independence of foreign fossil fuel are new requirements that drive the development towards a more distributed architecture, stochastic renewable generation units, smart
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scientific foundation are at a turning point: decarbonization and independence of foreign fossil fuel are new requirements that drive the development towards a more distributed architecture, stochastic