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PhD research will focus on characterizing and optimizing architectured fabrics and textiles using 3D micro tomography as a main tool to investigate tribological and thermal properties of different
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exposed to Bayesian optimization to find the optimal set of parameters that improve process performance and material quality. Secondly, different machine learning strategies based on traditional supervised
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PhD student to establish recipes to provide post-plasma catalysis with different C2Hy distributions and different enthalpy content for optimization of post-plasma catalysis into C2H4. PhD candidate in
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will form the foundation of Europe’s emerging graphite value chain. The project aims to develop and optimize separation and purification strategies for graphite ores of varying quality and mineral
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for food, feed, and fiber handling and storage. Apply mathematical modeling and scientific principles to optimize operational performance. Collaborate with faculty, graduate students, and industry partners
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communication. Join us and apply for one of the two available PhD positions below! Quantum Network Systems The goal of this position is to optimize the design of our quantum network operating system
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and phenotyping for sustainable crop production with the vision to transform crop production by optimizing breeding and farming management through developing and deploying new technologies. Within
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of the downstream expansion behaviour of the engine exhaust plume for different atmospheric layers. Definition of suitable interfaces to process data for the climate models. Expected Results: Ability to assess
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of their biological counterparts. This project aims to overcome these limitations through a synergistic circuit–device co-design that jointly optimizes both circuit architectures and component properties, ensuring
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and manufacture by AM optimized PLA/HAp/CaCO3 composite scaffolds with piezoelectric properties and apply the drug delivery coating; 4) carry out the in vitro test of the developed scaffolds under