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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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at subwavelength scale and to support the development of compact, high-performance detectors. This PhD project proposes the design, simulation, fabrication, and characterization of plasmonic antennas for infrared
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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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the effects of individual MNs on cellular function in PBMCs in health and inflammation We are seeking a highly motivated PhD candidate to join the project ‘Investigating the effects of individual micronutrients