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-of-the-art infrastructure. Strong industry integration and technology transfer perspective within a national battery consortium. A cooperative, friendly and supportive environment, with plenty of opportunities
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Background in adhesion science and interfacial mechanics Familiarity with dynamic or reversible polymer networks Knowledge of battery materials or dry electrode processing Experience in industry-collaborative
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spectrum from basic and applied research to pre-industrial development and is carried out in cooperation with national and international partners from universities, academies and industry. The institute is
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Your Job: This work will be performed as part of an agile team unified by a common goal: An Industry partner from semen production provides fresh sperm cells and pre-analysis. A second industry
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: the University of Tübingen and the Festo Lab, providing a unique environment for close collaboration between academia and industry. Details of the research activities as well as publications and background
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opportunities for technology transfer and industry engagement—enabling the postdoctoral researcher to establish or strengthen an internationally visible research profile. Mandatory requirements PhD degree in
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quality of life. The greater Munich area is also home to several world-class universities, research centers and biomedical entrepreneurship and industry, creating a truly stimulating intellectual atmosphere
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of solid mechanics. Preferred application areas include materials science, additive manufacturing and biomedical engineering. The focus of this position lies in a combination of programming and computational
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manufacturing Use and further develop CRISPR (epi-)genome editing methods in CAR T cells Using cellular (e.g., FACS) and molecular (e.g., single cell analysis, next generation sequencing) methods to characterize
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technical services for assessing the safety of facilities for the manufacture and storage of explosives and pyrotechnic articles, including the investigation of incidents using validated simulation models