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Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg | Magdeburg, Sachsen Anhalt | Germany | about 4 hours ago
The Department of Process Systems Engineering (Director: Prof. Dr.-Ing. Kai Sundmacher) at the Max Planck Institute for Dynamics of Complex Technical Systems is inviting applications for the PhD
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tools and concepts. Supervise student projects and BSc/MSc theses. Your Profile: Master’s degree in physics, electrical/electronic engineering, computer science, mathematics, or a related field. Strong
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of software tools and concepts. Supervise student projects and BSc/MSc theses. Your Profile: Master’s degree in physics, electrical/electronic engineering, computer science, mathematics, or a related field
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academic and industrial cooperation partners Requirements: excellent university degree (M.Sc., Diploma) in either computer engineering, computer science, electrical engineering or any related natural science
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interdisciplinary collaboration. We are seeking highly motivated doctoral researchers with a M.Sc., or equivalent, in materials science, chemistry, mechanical engineering, physics, mathematics, or electrical
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, their achievements and productivity to the success of the whole institution. At the Faculty of Electrical and Computer Engineering, Institute of Fundamentals of Electrical Engineering, the Chair of Biomedical
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civil/electrical/control engineering or mathematics or related study programs with a solid basis in choice modelling and/or reinforcement learning, with knowledge of MATSim is advantageous. Description
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materialists, electrical engineers, and computer scientists of TUD, RWTH Aachen and Gesellschaft für Angewandte Mikro- und Optoelektronik mbH (AMO ) in Aachen, Forschungszentrum Jülich (FZJ ), Max Planck
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interdisciplinary team from electrical, mechanical, and chemical engineering, as well as physics and chemistry, with the intention to bring promising new 2D materials out of the laboratory and into the market-place
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Your Job: This PhD thesis aims to quantitatively study the initial stages of light conversion into electrical signals in Si-based photovoltaic devices. The research will employ off-axis electron