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: *Optimal Particle identification of Single Site with Underground MKIDs Detectors; funded by the ERC project ERC OPOSSUM *Development of an Experimental Microsatellite Platform for Extended In-Situ Space
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methods and GIS tools to create 3D environments that integrate high-resolution 3D urban models with climate-resilience objectives. This should help policymakers and citizens optimize energy-efficiency
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values of ~10. While LGADs have been optimized for high precision timing (σt∼30 ps) in charged particle detection, standard gain-layer segmentation typically limits the fill factor due to significant “dead
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decision support systems (DSS) allowing farmers to boost productivity, optimize resource use efficiency, and improve the quality of resources. For example, AI technologies are applied to plant and animal
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detection in space applications. The activity will include numerical electromagnetic modelling, cleanroom fabrication, and optical/electrical characterization aimed at optimizing resonance control, absorption
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leading European experts in photonics, microfluidics, nanofabrication, and theoretical modelling Analyze and interpret experimental results to optimize device performance and functionality Participate in
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generating mechanistic insights that can inform future clinical strategies to optimize MN status in critically ill patients. Your main tasks and responsibilities in this project are: • Isolating PBMCs from