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energy system models that incorporate a stronger Social Sciences and Humanities (SSH) perspective. By embedding societal dynamics, such models aim to capture a wider range of future uncertainties and
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materials, technologies and systems. Your tasks Develop a model to investigate strategies to increase dynamic supply of secondary raw materials based on future sources and technologies and explore
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, advanced materials, and innovative concrete strengthening solutions. Our work combines experimental investigations, analytical modelling, and numerical simulations to develop and validate novel reinforcement
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of strongly correlated electron systems on surfaces. A particular focus is placed on molecular spin systems, where you can harness quantum correlations of many-body spin systems, enabled by atomically precise
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, analytical modelling, and numerical simulations to develop and validate novel reinforcement systems. This position is part of an Innosuisse-funded collaborative project with industry partners, focusing
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element modeling, computational fluid dynamics). Knowledge of heat and mass transport processes in heat-sensitive materials and process optimization. Experience in supply chains and hygrothermal
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layers, thorough FLA processing, and extensive materials characteri-zation using XRD, electron microscopies, TOF-SIMS, electrochemical methods, etc. Modeling and simulations should help us to explain
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nanoparticle systems. Investigate model particles such as liposomes, mesoporous silica and silver nanoparticles. Investigate RNA-LNP formulations for next-generation gene therapeutics, examining how lipid
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modelling and AI/ML for the quality monitoring/control, at the end offering to the society novel nanostructured materials, their shape-forming and integration into devices. Your tasks We are seeking a highly
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for dynamic biological environments. Despite the promising potential of soft hydrogels in combination with in situ mineralization that could offer greater flexibility and biocompatibility, research in this area