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digital technologies. At HPI, you benefit from close supervision by experienced professors and postdocs, cutting-edge research facilities, and a collaborative academic network, e.g. with the University
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slow and inefficient. Our group develops methods and tools to automate the co-design process. The core of this project is the development of meta-optimization techniques that can automatically search
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substrates while advancing our understanding of deep learning through dynamical systems theory. You will work with two cutting-edge experimental systems: (1) light-controlled active particle ensembles
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of a suitable SMA microrobots layout Rapid prototyping (clean room technology, e.g., optical lithography, 3D printing, laser technology) Development, characterization and control of demonstrator variants
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prototyping (optical lithography, 3D printing, laser technology) Development, characterization and control of cooling demonstrator variants Simulation-based design optimization The IMT is equipped with an array
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into goal-directed behavior. We use state-of-the-art approaches including functional brain imaging, automated behavioral analysis, and computational neuroanatomy. We value a collaborative atmosphere, early
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Your Job: Adaptive Control Theory (ACT) provides mathematically grounded and robust learning rules, prescribing that neurons should be diffusively forced toward a teacher trajectory and achieve
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Your Job: As part of an interdisciplinary team, you will develop approaches for the automated and large-scale provision and integration of energy systems data and models and apply data science
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on the development, pathophysiology and control of the cardiovascular system as well as exploring causes, consequences and therapeutic approaches for cardiovascular diseases. The research spectrum of this programme
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command of English is required for participation. Application deadline Annually on 15 February Submit application to https://www.gsn.uni-muenchen.de/apply/index.html Accommodation The International Office