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-Physical Systems research theme, focused on improving quality of life through cutting-edge technology. The research aims to design context-aware multimodal AI methods to understand and model human behaviours
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metadata for auditability and continuous monitoring. The research is hands-on and evaluative. You will deploy your methods in realistic cyber-range scenarios and sectoral use cases (e.g., transport
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. CLASSIQUE is organized into four research thrusts that rely upon interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and statistics
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metadata for auditability and continuous monitoring. The research is hands-on and evaluative. You will deploy your methods in realistic cyber-range scenarios and sectoral use cases (e.g., transport
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diseases. Research Fields: Health Informatics, Biomedical Engineering, Computer Science, Endocrinology, Digital Health, Medical Sensors, Cyber-physical Systems. Secondments: University of Rome (I): AI-based
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prevention, diagnosis, and management of endocrine diseases. Research Fields: Health Informatics, Biomedical Engineering, Computer Science, Endocrinology, Digital Health, Medical Sensors, Cyber-physical
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manufacturing", new AI methods for predicting the outcome of AM printing processes under varying bounding conditions are developed. This involves the design of a cyber-physical system incl. a data management
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proposals related to the themes of its two research centres. These themes include information systems and digital business, information management and modelling, business process management, digital business
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stages of the selection process. When the outcome of the assessment is negative, the candidate will be informed. The processing of personal data in the context of the risk assessment is carried out
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, and Cyber-Physical Sensor Technologies, benefiting from state-of-the-art laboratories and close cooperation with related disciplines. All research activities encompass modeling, design, and experimental