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project. The objectives of this work are to optimize an experimental setup for simultaneous tension/compression testing and localized corrosion measurements, including monitoring of local pH and dissolved
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compilation, optimization and error mitigation collaborate with theoretical computer scientists on developing noise-aware quantum programming paradigms Your Profile: Master in physics, computer science
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, experimentally grounded workflow for rapid microstructure-property optimization in steels. The PhD student will play a central role in this interdisciplinary initiative. They will: Develop and apply machine
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aspects of biogenic dyes, from the identification of dye-producing bacteria and the characterization of their pigments, through the optimization of their production and application, to the comprehensive
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Materials and Devices – Structure and Function of Materials (IMD-1) to establish a data-driven, experimentally grounded workflow for rapid microstructure-property optimization in steels. The PhD student will
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, microfabrication, materials optimization, and microwave control are highly preferred qualifications Please feel free to apply for the position even if you do not have all the required skills and knowledge. We may be
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- and ML-ready information to develop and implement an indirect inverse optimization framework to identify microstructures that exhibit desired macroscopic properties to publish and present research
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Build and optimize workflows for analyzing biodiversity and entomological texts, focusing on functional traits, historical context, and geographic scope relevant to current environmental challenges
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functional polymers such as biodegradable polyphosphoesters, and block copolymers Optimize physicochemical properties including molar mass, biodegradability, and hydrophilic/hydrophobic balance Characterize
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methods like ZX-calculus) towards description of quantum noise employ such extended methods for quantum circuit compilation, optimization and error mitigation collaborate with theoretical computer