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available in the further tabs (e.g. “Application requirements”). Programme Description The fellowship programme addresses highly qualified graduates from all fields of study from selected countries and
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on the Part Scale. The project is jointly supervised by Prof. Dr. Ralf Jänicke (Institute of Applied Mechanics, Technische Universität Braunschweig) and PD Dr. Stefan Kollmannsberger (Chair of Computational
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available in the further tabs (e.g. “Application requirements”). Programme Description Master's graduates with a passion for transformation processes have the opportunity to participate in a unique university
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Become a part of our team and join us on our journey of research and innovation! What
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to scientists and investigate possible applications of ML in fields like Chemistry, Numerics, Computational Biology, Astrophysics, Heliophysics etc. You will be involved in all phases of this process. You will
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tenured W3 position. ScientificEnvironment The professorship will be assigned to the Department of Engineering Physics and Computation at the TUM School of Engineering and Design. Responsibilities
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to the partner laboratories. Requirements: university and PhD degree in chemistry or physics and profound knowledge in computational and theoretical physics/chemistry. Capability of team work is essential. Skills
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The Faculty of Mathematics and Computer Science at the University of Göttingen invites applications for a temporary professorship with civil servant status (grade W1 NBesO) with tenure track (grade
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automation in industry. Disruptive technologies such as artificial intelligence and quantum computing play a key role here. Fraunhofer IKS is conducting research to ensure that these applications are reliable