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the largest FTD and AD patient-control cohorts, including neuropathologically well-characterized patient subgroups. The project will further leverage large publicly available and in-house generated single
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for anomaly Detection and diagnostics: Leveraging state-of-the-art machine learning and deep learning models for automated fault detection, classification, and time-till-failure prediction. This will involve
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the most likely underlying neuropathological subtypes in FTD and AD patients. The project will make use of genetic information from the largest FTD and AD patient-control cohorts, including
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/doctorate and https://www.arts.kuleuven.be/english/research/becoming-researcher/becom… . •an excellent command of English (project language) and proficiency in French and Russian (the main languages
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visual behavior, visual circuit development, and automated behavioral assays. Methodologies include: Innate visual behavior assays using naturalistic visual stimuli (e.g. looming threats, prey-like
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visual behavior, visual circuit development, and automated behavioral assays. Methodologies include: Innate visual behavior assays using naturalistic visual stimuli (e.g. looming threats, prey-like
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infrastructure and training in plasma science, advanced catalysis, digital process control, and sustainability assessment, carrying out cutting-edge research with academia and industry. PRIME LEAP offers
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farm layouts with high specific power density through the co-optimization of array design and control strategies. This project is a collaboration with CNR-INM Institute of Marine Engineering in Rome
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and regulation of phytohormone transporters—key membrane proteins that control how plants grow and respond to stress. By combining advanced structural mass spectrometry (HDX-MS, native MS) with
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traditional heterogeneous media. Hydrated silicate ionic liquids (HSILs), developed by COK-KAT (KU Leuven), offer a more controlled environment for studying zeolite formation. HSILs are homogeneous, hypo