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are looking for a motivated and talented PhD candidate to join a unique interdisciplinary project at the intersection of machine learning and formal methods. Information Machine learning models deployed in real
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PhD in Optical Characterization and Photonic Performance Analysis of Liquid Crystal Polymer Coatings
under external stimuli. This PhD project will focus on the advanced optical characterization, modelling-supported interpretation, and performance benchmarking of these coatings. You will quantify how
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pathways and overall process efficiency. Using a combination of model compounds and real lignin-derived feeds, you will investigate the influence of feed composition and operating conditions and apply
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viewing-angle stability; collaborate with experts in optical characterization, modelling, device integration, and perception studies; translate material-level insights into design rules for scalable one-way
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into different stages of optimization, both as priors and as feedback after optimization outcomes. Information This PhD project is a part of the CoRDS project – Confident Data-Driven Decision Support (https
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field above the helideck and around ships. These wind fields are simulated on model scale as standard. For helicopters, the real limits are then determined by a test flight by an experienced test pilot