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lymphatic identity and immune response. Working at a world-leading institution within a high-impact collaborative environment, you will employ in vivo models with state-of-the-art molecular and cellular
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(including Large Language Models and data-driven optimisation) with concrete industrial deployment. A profile comfortable with the challenges faced by industries in their transition towards Manufacturing 4.0
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Details Title Postdoctoral Fellow – PKPD Modelling, Bladder, Lung-on-Chip School Wyss Institute for Biologically Inspired Engineering Department/Area Position Description About the Wyss: The Wyss
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA CIVILE, CHIMICA, AMBIENTALE E DEI MATERIALI | Italy | about 1 month ago
science, this approach will deliver tools for data-driven, sustainable composite design and inform industry decision-making on a global scale. Parametric modelling with 3D CAD tools and programming
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experience in data architecture, enterprise data modeling, or data engineering. Proven experience modernizing legacy data environments and designing cloud-native, AI-ready data architectures. Experience
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into consideration. We are looking for a candidate with a PhD in Electrical Engineering, Engineering Physics, Mathematics, Computer Science, or a related field, with expertise in programming, physical modeling
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The Faculty of Engineering at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) invites applications for an Associate Professor of Data-Driven Material Modeling (salary group W2
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Faculty website: https://www.unsw.edu.au/engineering/about-us Skills and Experience: Relevant tertiary qualification with subsequent relevant experience or equivalent competence gained through any
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faculties worldwide. For more information, visit the Faculty website: https://www.unsw.edu.au/engineering/about-us Skills and Experience: Relevant tertiary qualification with subsequent relevant experience
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22 Mar 2026 Job Information Organisation/Company Umeå universitet Department Umeå University, Faculty of Science and Technology Research Field Computer science Researcher Profile Recognised