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, for the preparation of a doctorate, contains: The development of novel spectroscopic sensors within the framework of the FWO-SBO-funded research project MOSAIC, Multimodal Optical Sensing and AI
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with a second doctoral researcher to optimize the architecture of fiber sensors, fostering synergistic innovation and breakthrough advancements. Optical fiber-based sensing stands as a cornerstone
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. The objective is to develop and validate miniature fibre-optic sensors capable of measuring pressure and temperature in a new generation of ultra-high-pressure rheometers. The intended application is a slit-die
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to design compact, cost-effective and robust multi-optics imaging systems (i.e. combining multiple optical channels onto a single sensor) which can address these issues. The goal is to create a flexible
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of trustworthy neurosymbolic AI. There is both a theoretic and practical component to this topic, since the ultimate goal is to implement efficient algorithms that allow reasoning engines to produce
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primarily on the development, validation, and implementation of the Psychological Referral Optimization algorithm (PRO). PRO is a brief digital e-screening tool designed to support early identification, risk
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Engagements. Particular attention may be paid to the changing role of intermediaries such as platforms, algorithms and generative AI technologies in shaping news provision, visibility and public understanding