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challenges of intelligent biosensor-based monitoring; • Develop software components for real-time data collection, processing, and visualization, contributing to more effective decision support systems
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specify a robust and scalable technological solution aligned with the current challenges of intelligent biosensor-based monitoring; • Develop software components for real-time data collection, processing
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(Policy Briefs) and the general public (Stories). - Collaborate with other researchers, in particular with the researcher in the field of artificial intelligence and data recruited by CENSE. - Lead specific
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the following conditions: Research Field: Artificial Intelligence and Data Science Objectives: The objective of this activity is to create and validate large-scale data analysis methods for the detection and
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APIs - e.g. through Network Exposure Function (NEF) - designed to support intelligent and efficient energy management across vertical applications. These APIs enable network applications developed by
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the renewals provided for in the notice — they would exceed a cumulative period of two years in this type of grant, whether consecutive or non-consecutive. d) Preferential factors: •Knowledge of intelligent
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materials and their structural, chemical and physical characterisation; WP4 – Characterisation of the sensing unit and functional modules; WP5 – Study of the interaction between triboelectric devices and