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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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carbon footprint cementitious mixtures, partially or fully replacing Portland cement with ash from African agricultural waste. Chemometric techniques and data science will be implemented to optimize
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software systems supporting computing environments, monitoring data processing pipelines, and optimizing computational resources. Responsibilities also include managing data flows, backup and security
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on the development and engineering of advanced hybrid perovskite materials. This research involves the design and optimization of perovskite formulations with a bandgap suitable for the fabrication of multijunction
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, high-performance computing resources, and low-power edge infrastructures. Particular attention will be devoted to the scalability of solutions, the optimization of computational resource allocation, the
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through quantum network simulators and/or experimental quantum networking platforms. The objective is to develop a software framework for optimizing entanglement utilization and quantum circuit performance