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Übersicht Doctoral Position in Generative AI-Based, Computational Design Methods for Engineering Design 100%, Zurich, fixed-term Drucken The Engineering Design and Computing Laboratory has a fully
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strives to establish Population-Based Manufacturing (PBM), a novel framework that intelligently transfers knowledge and data from existing manufacturing processes to new ones. Inspired by population
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hold an MSc degree in mechanics, physics, (civil, mechanical, aerospace, or bio-) engineering, material science, computational science, or a related discipline. You have a background in mechanics
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MSc degree in mechanics, physics, (civil, mechanical, aerospace, or bio-) engineering, material science, or a related discipline. You have a background in mechanics, applied physics, computational
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finish their Master´s degree in (molecular) biology, (bio-)chemistry, (bio-)physics, computational biology, computer science, epidemiology/public health studies or related subjects to apply now
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Master’s degree in Bioscience Engineering, Engineering, (Bio-)Industrial Sciences or Applied Biosciences, with a focus on food technology, environmental technology, bioprocess technology and/or
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functional properties while using sustainable feedstock. This will allow recycled and bio-based materials to become a competitive replacement for less sustainable high performance alternatives
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within the Faculty of Applied Engineering. Profile You hold a master degree in (bio)chemistry, (bio)chemical engineering, material/polymer sciences or (bio)cheminformatics or you will have obtained it by
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Eindhoven University of Technology (TU/e) | Eindhoven, Provincie Noord-Brabant | Netherlands | about 1 month ago
research-driven department housing high-quality educational programs, all featuring strong connections between research and education. Our research is clustered in three focal areas: Fluids, Bio and Soft
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and manufacturing systems. Research covered by the section integrates systems engineering, modular architectures, robust and bio-inspired design, portfolio and risk management, and AI-enabled