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publication record is encouraged and previous experience in areas such as Distributed control and optimization, Swarms, Autonomous Robots, Embedded systems development, Collaborative and adversarial control
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of machine learning and health sciences, with unique access to experimental and clinical data. Embedded in Munich’s thriving AI landscape, fellows benefit from world-class facilities, interdisciplinary
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, diffraction, spectroscopy and NMR. The NMR research is also embedded within the Department of Chemistry ( chem.au.dk ). The Viennet lab in the bioNMR group focuses on elucidating protein regulation by NMR and
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invite applications for a postdoctoral fellowship for an ambitious researcher with a relevant PhD to be part of the MAGIC project. The aim of the project is to uncover the role of metabolic dysfunction in
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learning for dynamical systems, system identification and control systems. This can involve co-tutoring of PhD students or early R&D cooperative studies. contributing to the development of advanced benchmark
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accordance with Norwegian Freedom of Information Act § 25. When you apply for a position with us, your name will appear on the public applicant list. It is possible to request to be excluded from this list