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and integration process in Germany Scientific Resources State-of-the-art infrastructure and Core Facilities Work-Life-Balance Flexible working hours and flexi-time models Family Support On-site
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activities, enriching your academic and professional skills. Application Process: Interested candidates should submit the following documents (preferably in a single PDF) to Prof. Dr. Enkelejda Kasneci
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collaborating groups. Selection process Candidates are invited to send their application ASAP, preferably by e-mail, directly to [email protected] Please send a single .pdf file including a
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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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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