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. − Optimization of non-thermal atmospheric plasma treatments for the transformation of by-products from the food industry. − Analysis of microbiological risks in the food chain. Researchers contracted through
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interface between ESM and the latest version of SIESTA, its validation, its benchmarking, and its exploitation in scientific applications. Work will also involve the optimization of SIESTA on the fastest and
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Predoctoral researcher at the Targeted Therapeutics & Nanodevices Research Group (Project BRAINZYME)
, precise transport, controlled release, and therapeutic activity. • Characterize and optimize these biotherapeutics in vitro by assessing their structure, functionality, and stability under storage and
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with companies. GPDS develops different lines of research, in particular the design and development of multisensor acquisition and fusion architectures, applied artificial intelligence and optimization
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Leonardo. The successful candidate will play a crucial role in developing and optimizing machine learning workflows for large-scale environmental data analysis, contributing to the creation of robust and
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to design and characterize optimized superconducting microwave resonators tailored for hybrid quantum experiments. · Perform precision measurements in dilution refrigerators at ICN2 and/or MIT, probing