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and treatment strategies in soldiers preparing for deployment.The project will also validate the clinical utility of a novel, automated skin prick test device or S.P.A.T. (Gorris et al., Allergy 2023
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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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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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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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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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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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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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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