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Your Job: You will be developing efficient methods for lattice field theory problems implementing these methods on highly-scalable supercomputing architectures applying for and taking care
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fully funded PhD position in the area of safe data-driven system identification for cyber-physical systems, offered by our research group at the intersection of control theory, machine learning, and
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Proven research experience in the area of quantum algorithms or quantum information theory Good organizational and communication skills Ability to work independently in interdisciplinary teams Very good
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insight into the complex dynamics of individual cell growth and water transport within tissues [1]. At the tissue scale, we have developed a continuum theory of plant growth that treats tissue as a
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systems of rule, with the view to building theory of legitimacy for the digital age. Responsibilities How do individuals evaluate legitimacy of algorithmic governance? The main task of the appointed
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Systems Control Theory Formal Methods Reachability Analysis Computational Geometry Context The applicant will be directly advised by Prof. Matthias Althoff (https://www.ce.cit.tum.de/cps/members/prof-dr-ing
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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
for outstanding candidates, with a successful degree (master/ diploma/doctoral/PhD) with exceptional records. A strong disciplinary background in • control, system theory and optimization • machine learning