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is English. We are seeking excellent candidates at post-doctoral level to participate in new research endeavours, related to robot learning, manipulation, and AI for autonomous physical systems
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also highly valued. Requirements Successful candidates have a master’s degree in Physics, Chemistry, Computer Science or related disciplines. Knowledge of machine learning (image, graph network
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technical capabilities into a compelling commercial product. Your Key Responsibilities: System-Level Analysis: Develop a comprehensive understanding of the entire process, modeling the dynamic relationship
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University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees on performance, safety, and robustness of robotic and learning-enabled systems
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to apply. Role and requirements The position is open to individuals with a doctorate in physics or a closely related field. The new professor is expected to build and lead an internationally recognized
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Aalto University is where science and art meet technology and business. We shape a sustainable future by sparking the game changers of tomorrow and by creating novel solutions to major global
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engineering, hydro- and pyro-metallurgy, catalyst and polymeric materials, novel catalytic process, process control and process systems engineering. The Department of Chemical and Metallurgical Engineering at
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Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers
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Devices (QCD) group at the Department of Applied Physics. In this position you have a chance to make history by demonstrating some of the first experiments of the future quantum-computer technology that is
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Researcher with Prof. Mikko Möttönen being your direct superior. The QCD group ( https://www.aalto.fi/en/department-of-applied-physics/quantum-computing-and-devices-qcd ) is one of the leading groups working