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, that combines diffusion and transformer models, there are clear indications that the analysis of this data can be automated. This will open new avenues in data interpretation and building predictive models
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approaches are often impractical in multi-zone dwellings with dynamic conditions. However, recent advancements in IoT sensing and open building automation platforms now enable the development of distributed
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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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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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properties of the cluster-substrate system using an automated photocatalytic gas test setup for CO2 photoreduction available at A-PECS. Importantly, the PhD candidate will thus receive a joint PhD degree by