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– from the modeling of material behavior to the development of the material to the finished component. PhD position on physics-based machine learning modeling for materials and process design Reference
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of the German Armed Forces Munich), the DLR (German Aerospace Center) with its Oberpfaffenhofen institutes, and the BHL, the Bauhaus Luftfahrt. This pooling of research, graduate programmes and teaching merges
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), the sorption of PFAS and heavy metals onto natural nanoparticles will be investigated in situ using a dedicated field exposure method developed by our team, complemented by laboratory experiments and machine
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period is 3 years; in addition, application for renewal is possible for up to 6 months. Scholarship Value Please find information on the current funding here . Application Papers Application forms and
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of Photogrammetry and Remote Sensing and together with other chairs being part of the RTG. Requirements: good or very good university degree in computer science, mechatronics, robotics, electrical engineering, or a
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request certified copies of the submitted documents in paper form if a grant is awarded. Please note that the access to the application portal only appears while the current application period is running
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professor plus an international tutor of the RTG Description of the PhD topic: Innovative Air Mobility (IAM) networks are currently being designed in cities worldwide. These networks rely on electrically