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and science disciplines. The PhD community is supported by the Doctoral Schools Ghent University and Gentse Pre- en Postdoc Psychosocial well-being at work and ombudsperson Doctoral and other students
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explores how artificial intelligence can make industrial control systems safer and more efficient. It focuses on combining the reliability of classical control methods with the adaptability of RL. The goal
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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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hydrogel systems with precisely tunable mechanical properties and bioactive molecules to serve as artificial extracellular matrices (ECMs). Developing Controlled Environments: Establish protocols to generate
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methods interest in interdisciplinary research excellent skills in English (command over Dutch or German is an additional asset) a talent for combining personal initiative and team spirit strong motivation
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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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for these positions as well (e.g., holding degrees that combine philosophy with other disciplines such as from the natural or social sciences). Excellent command of written and spoken English (demonstrated by a degree
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manufacturing through closed-loop Directed Energy Deposition process control (GRADΞD). Functionally Graded Additive Metals (FGAM) present unseen design and manufacturing opportunities, enabling to fabricate
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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