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route to produce high-quality recyclates, but current implementations rely on static process design and control that don’t account for feedstock variability, inefficient solvent use, and high energy
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. Job description Imagine extending decades of exquisite quantum control from atoms, ions, photons, and related quantum platforms to the rigid-body motion of an entire solid containing billions of atoms
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nucleation pathways related to different emissions characteristics at the engine exhaust. The collected data would be helpful to validate the microphysics models for ice nucleation process, hence clarifying
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on static process design and control that don’t account for feedstock variability, inefficient solvent use, and high energy demand, hindering scale-up. Information This project will be executed together
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executed. In close collaboration with PhD researchers and project partners from TUM and ETH, you will contribute to the development of novel control and learning methods for aerial manipulators and multi
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targeted therapy. However, their development is constrained by limited access to essential enriched starting materials and the complex technologies required to separate and process the isotopes
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workflows, Data normalization and quality control strategies, Strong experience in processing and interpreting complex MS datasets; Track record of peer-reviewed publications in relevant fields; Excellent
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4 Jul 2026 Job Information Organisation/Company University of Twente (UT) Research Field Engineering » Aerospace engineering Engineering » Computer engineering Environmental science » Ecology
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strong publication track record. You have a good command of spoken and written English. What we offer you We will give you a temporary employment contract of 1 year with the prospect of an extension
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randomized control trial between 2018 and 2022 showing that a single half-day training dramatically increased adoption (Aker and Jack 2025), this project now seeks to scale those insights across other regions