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journals, conference contributions, and active scientific exchange at the national and international level Your Profile: You have successfully completed a master’s degree in natural or (industrial
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of the PhD topic (subproject A7- Reinforcement learning for mode choice decisions): This PhD project will develop and implement a Deep Reinforcement Learning (DRL) model for dynamic mode choice within
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the activities of the SFB ChemPrint Writing of scientific publications and project reports Your Profile: Masters degree in materials science, chemistry, physics, production engineering, energy technology or
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industry and research Publication and presentation of research results in relevant journals and at national and international conferences Participation in the development of the institute Your Profile
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with our partners at CNRS and Michigan State University Close collaboration with partner laboratories in the US and France (including laboratory stays) Your Profile: A Master`s degree in Bioengineering
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peer-reviewed journals Your Profile: A Master’s degree in chemistry, physics, environmental science, atmospheric science, meteorology, or a related discipline Strong experimental skills; experience in
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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | about 4 hours ago
all-sky surveys. eROSITA has an XMM-Newton-type sensitivity but an unlimited field of view in its survey mode. This makes the instrument and its X-ray data unique, especially when searching for new
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to support strategic energy planning and policy development at national and European scales Your Profile: Master’s degree in the field of natural sciences, engineering, industrial engineering or a related
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journals Participating workshops on eye tracking within the research network Attending project meetings in Aachen and Rennes, France Your Profile: A completed university degree (master`s or equivalent) in