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—including structured households’ surveys and Agent-Based Modeling (ABM)—for the quantification of adaptation effectiveness and limits. The overall outcomes of the ADELE project will contribute to the ongoing
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, including efficiency, fairness, reliability, and sustainability. Despite recent advances, existing mathematical models often fail to jointly capture these aspects and trade-offs, limiting their ability
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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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on the interactions between set theory and non-standard logics, preferably within one of the two branches of the project: Modal Logic of Forcing Inner Models from Extended Logics These are active fields within set
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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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willing to acquire this. You have a good knowledge of cell biology, molecular oncology, signal transduction, and immunology. You have experience with or an interest in 3D-cell culture models, patient
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are we looking for We are looking for candidates with a background in set theory and/or logic, preferably including either modal logic, forcing, or inner model theory. The candidate shall have a Master's
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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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unique opportunity to work at the interface of evolutionary biology, genomics, and algal model systems, while contributing to a broader understanding of biodiversity, adaptation, and genome evolution. Your