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arise between physical assets and their nominal digital designs, complicating accurate prediction of structural behavior and sustainable lifecycle management. This research aims to overcome
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to efficiently create new, sustainable and recycling-adapted structural metals. Alloys with a reduced number of elements, so-called lean alloys, and material systems with a high tolerance to impurities from
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the application process at https://www.tu-clausthal.de/universitaet/karriere-ausbildung/stellenangebote/hinweise-zum-datenschutz-im-bewerbungsverfahren . Application costs cannot be reimbursed. Your application
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cells to develop a quantitative model. Once established, predicted separation mechanisms need to be tested. You will perform these experiments. Your tasks will include: Adapt existing DNA labeling
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network adaptation is crucial for optimal perfusion. In self-organizing life forms, network morphology constantly adapts in response to environmental stimuli towards more homogeneous distribu-tion of flow
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adaptation is crucial for optimal perfusion. In living systems, network architecture constantly changes in response to environmental stimuli towards uniform flow to optimize transport. Combining microfluidic
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/CAROUSEL) and its application for developing new materials and adapting the additive manufacturing process parameters, we are looking for support as soon as possible. The Chair of Materials Engineering of