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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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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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(diploma, master's degree) in transport engineering or civil/electrical/control engineering or mathematics, or related study programs with a solid basis in optimization Description of the PhD topic
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therefore teams up materialists, electrical engineers, and computer scientists of TUD, RWTH Aachen and Gesellschaft für Angewandte Mikro- und Optoelektronik mbH ( AMO ) in Aachen, Forschungszentrum Jülich
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at conferences and in peer-reviewed journals Your Profile: Completed bachelor’s and master’s degrees (or equivalent) in Chemistry or a closely related field Strong oral and written communication skills in English
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(or equivalent) in Chemistry or a closely related field Strong oral and written communication skills in English (required) German language skills are desirable Interest in inorganic spectroscopy and metalloenzymes
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delivery drones, care robots, online health communities, AI-driven tools for communication and story-telling etc.) are being designed to overcome the current care crisis (aging population, shortage of care
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, Montserrat, Nicaragua, Paraguay, Peru, St. Lucia, St. Vincent and the Grenadines, Suriname and Venezuela What can be funded? Ph.D. studies in Electrical Engineering at the Universidad Nacional San Juan Ph.D