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on the theoretical and experimental study of electric generators based on fuel cells and the study of electrolyzers. Specifically, the research will concern the development of new techniques and investigative
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to the project. They assist in developing and applying sustainability indicators and testing innovative best practices for reducing emissions, using resources efficiently and improving animal welfare. They also
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biogeochemical properties. The post-doctoral researcher will also contribute to the development of GIS-based geo-pedological tools for land unit delineation and sustainable land evaluation...Omissis. Where
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project will construct and credibly analyze the first comprehensive data set on the agrarian innovations, formal and informal institutions and alternative economic activities developed by the first recorded
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Sustainable composite STructures for supporting the decision-making and resilience of the society Of the future”. This project develops transdisciplinary models that integrate traditional finite-element physico
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farming, robotics, metrology, cultural heritage, and geomatics. The Data Science for Industry and Physics (DSIP ) Research Unit focuses on applying Data Science methodologies and approaches to develop
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“ASIC development for BIOlogical sequences alignments: ABIOSA” ID. MUR 2022MNS5ER_02 CUP F53C24000910001, funded by MUR - Ministero dell’Università e della Ricerca – Notice regarding the scrolling
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collaborate to create novel solutions to key problems in robotics. The lab focuses on research and development of human-centered medical robotic technologies, including technologies for microsurgery, disease
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from the literature. This project is part of the Synergy Grant COSMOMAG which has the ambitious goal to uncover the origin of cosmologia magnetism and develop a unified theoretical framework to
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and control of light–matter interactions at the nanoscale, combining nanophotonics, structured light, metasurfaces, and advanced optical techniques. The group studies and develops nanophotonic