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enhance reliability, energy efficiency, and other performance metrics in cyber-physical systems like energy and smart manufacturing systems. Our goal is to develop innovative methodologies that integrate
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to the Technical University of Munich (TUM). Please view our privacy policy on collecting and processing personal data in the course of the application process pursuant to Art.13 of the General Data Protection
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: Publishing at least three scientific papers for your cumulative PhD thesis and supervising MA students Requirements: PhD or Master’s Degree in Physics, Engineering, Economics, Environmental Sciences
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cumulative PhD thesis and supervising MA students Requirements: PhD or Master’s Degree in Physics, Engineering, Economics, Environmental Sciences, Mathematics, Computational Sciences or a related field
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pollution, an existential threat to Europe and the world, impacts the safety, comfort and health of humans and vegetation. It is the largest environmental cause of multiple mental and physical diseases and of
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application to the European mission of a Digital Twin Earth. ML research directions will include physics-aware machine learning, reasoning, uncertainty estimation, Explainable AI, Sparse Labels and
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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
-robot-teams, haptic assistance, cyber-physical systems, and infrastructure systems. While our core competence is control engineering, we have some interdisciplinary collaborations with the fields
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accordance with the Federal Data Protection Act and with the EU Data Protection Regulation insofar as this data is needed to process the application. Submitting an application General information
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to applicants is saved by the DAAD in accordance with the Federal Data Protection Act and the EU Data Protection Regulation and insofar as this data is needed to process the application. Submitting an application