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05.04.2023, Academic staff We are the Autonomous Vehicles Systems (AVS) Lab and are interested in the algorithmic foundations of path and behaviour planning, control and automated learning
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05.04.2023, Academic staff We are the Autonomous Vehicles Systems (AVS) Lab and are interested in the algorithmic foundations of path and behaviour planning, control and automated learning
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available in the further tabs (e.g. “Application requirements”). Objective The aim of the programme is to support young scientists and academics in Aceh in the aftermath of the 2004 tsunami and help promote
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intensive, shorter virtual workshops and seminars will be offered on a regular basis (approximately once a month). The overall orientation of the content being treated in the graduate programme is geared
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is hosted at the Chair for Algorithms and Complexity, headed by Prof. Susanne Albers (http://wwwalbers.in.tum.de/index.html.en). The dissertation work will involve research in the fields
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08.09.2021, Academic staff The Professorship of Machine Learning at the Department of Electrical and Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13 100%, 3
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. We are looking for a PhD student (m/f/d) to start at the TUM between now and March 2023. Your Task From animals’ circulatory system to random porous media in fuel cells, morphological network
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within body organs. We are looking for a PhD student (m/f/d) to start at the TUM in September or later. Your Task From animals’ circulatory system to random porous media in fuel cells, morphological
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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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polycephalum is renowned for solving complex tasks despite its simple make-up consisting of only one giant cell that harbors millions of cell nuclei. You will investigate the role of nuclei as information