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to streamflow as a function of climate and landscape controls, using deep learning and explainable AI Communicate and discuss results with stakeholders to integrate the findings into water management
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a unique bridge between management and technology. The TUM Campus Heilbronn is a dynamic organization whose goal is to achieve excellence in research, teaching and impact. Your tasks: • Contribute
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of Munich (TUM), deals with the multifaceted interactions between politics, society, business and technology in research, teaching and practice. It was established by the Bavarian State Parliament based on a
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energy system optimization and control Engineering, Applied Mathematics or a comparable quantitative discipline Very good software development and data analysis skills Inquisitive and passionate about
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and are not yet used regularly in industrial development processes. We believe that fully automating the verification process is a crucial step towards a broad acceptance of this technology. Our pre
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, creative, and committed way of working Ability to think conceptually and analytically Basic knowledge of energy technology Very good command of English Big plus: good command of German Our offer: We offer
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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
, haptic assistance, cyber-physical systems, and infrastructure systems. While our core competence is control engineering, we have some interdisciplinary collaborations with the fields of psychology (in
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University Munich in the Department of Physics. The position is part of the Focus Group Molecular and Interfacial Engineering of Organic Nanosystems at the Institute for Advanced Study (IAS) headed by Prof
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the robotics community. Requirements Please consider applying if you have a strong background in robotics, mechatronics, and control engineering. We especially seek individuals with excellent background in