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science. Project description (DC10 – CNR-IFN) Project title: Design and Micromachining of Microfluidic Devices for Chiral Sensing Applications (WP3) DC10 aims to develop next-generation lab-on-a-chip
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. This research will explore novel approaches for enabling AI at the edge, focusing on one or all of the following aspects: i) hardware-aware scaling, model compression, and novel approaches for diverse low-power
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-impact techniques and technologies. The research topic foresees an innovative scenario in which the candidate will investigate methods for sensing applications based on the integration of microcircuits and
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Change Adaptation (CCA) simulations and activities in urban environments. The PhD project should leverage multi-scale geospatial data (remote sensing/aerial imagery, point clouds, maps, etc.) and GeoAI
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sensing and AI processing. The focus lies in architecting a unified system capable of real-time image intelligence, overcoming the critical hardware bottlenecks of limited memory and power to enable
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microfluidic pretreatment stage with a SiC-based sensing core eliminates sample degradation during transport, enabling sub-minute analytical cycles essential for precision farming and safety monitoring
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Job related to staff position within a Research Infrastructure? No Offer Description Neural reconstruction pipelines (e.g. Gaussian Splatting) and 3D sensing technologies such as LiDAR and
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, and should be comfortable collaborating across clinical and laboratory environments. A strong sense of responsibility, willingness to learn new techniques, and the ability to manage multiple tasks