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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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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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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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, [email protected]) Your qualifications ▪ Master’s or doctoral degree in electrical engineering, communications engineering, mathematics, physics (or similar) ▪ Interest in theoretical work with high practical
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for quantum computers and develop methods and software tools dedicated to the design and realization of quantum algorithms/circuits. We see ourselves as an interface between the stakeholders building physical