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& Interoperability – and more specifically, in the following tasks: Task 4.1: Ontology Definition, Alignment and Formalization (CIDOC-CRM & INSPIRE), focusing on the design and extension of the MNEME semantic model
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learning techniques. The work further involves contributing to the development of methods for assessing climate risk and vulnerability at building level, supporting predictive urban planning; the simulation
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.2022111885 https://doi.org/10.1016/j.tplants.2023.04.006 . To reach its aims, the lab uses a large set of interdisciplinary approaches, including genetics, molecular methods, and genomics. About the project
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.2022111885 https://doi.org/10.1016/j.tplants.2023.04.006 . To reach their aims, the Lab uses a large set of interdisciplinary approaches, including genetics, molecular methods, and genomics. About the project