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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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imaging to further define the substrate spectrum of SPPL3 (Hobohm et al . (2022), Cell Mol Life Sci; Truberg et al . (2022), BBA Mol Cell Res; Brauer et al . (2024), EMBO J). Moreover, many independent
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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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characteristics, and non-static infrastructure requirements. Traditional planning approaches that treat infrastructure and fleet characteristics as fixed inputs are therefore insufficient. This PhD project
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details and procedure prescribed by the institution. The institution sets its own deadline for the admission process. Please inform yourself in plenty of time about the application process at the host
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expertise in the RTG-addressed PhD subjects, high interdisciplinary desire to learn and willingness to cooperate, very good verbal and written English communication skills as well as the absolute
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. Only online applications will be accepted. AVAILABLE PROJECTS: Nanoscience: Application of bistable DNA devices Nanoscience: Synthesis of Carbon-Nanostructures on Inert Surfaces Biophysics: Learning
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USD Application Papers Application forms and further information on the application procedure may be requested from Prof. Dr. Beth Plummer (The University of Arizona) via e-mail . Application Deadline
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with children Application Papers Please find the application forms and further information on the application procedure here . Application Deadline Application deadlines are 15 January and 15 June