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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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national and international reference point in quantum technology research. The integrated approach—which combines experimental development, numerical simulations, and advanced algorithm design—will create a
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and leukemias (in particular Hodgkin lymphoma and hairy cell leukemia), and to translate this knowledge in the clinic by developing new precision diagnostic and therapeutic tools (as exemplified by
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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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for testing machine learning algorithms applied to generative design in support of existing heritage regeneration processes. Where to apply E-mail reclutamento.docenti@ateneo.uniroma3.it Requirements Additional
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scalability and resource efficiency through the development of cooperative, distributed AI algorithms, optimising data, energy, and processing resources while adapting to the different computational
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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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“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