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: António Morais Aguiar da Costa (ist24583) Organic Unit: Scientific Area of Systems, Urbanism, Transportation and Environment Scholarship Theme: Development and Enhancement of SmartLCA, Dynamic LCA Database
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Posting Description DIRECTOR MEMBER GROWTH & ENGAGEMENT, Credit Union, is responsible for developing and setting strategies, and executing plans that drive membership acquisition, deepen member
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the activities of GT3. The initial phases will focus on studying the ideal frameworks for creating the IT platform and developing AI algorithms for data analysis. In particular, the data storage structure will be
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-Level Policy Dialogue, as well as in the Mattei Plan and in the strategies of Italian Development Cooperation in the academic field (AICS, MAECI, MUR). The objective of the programme is to contribute
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA | Italy | 1 day ago
Description This research project aims to develop a new artificial intelligence model for dense scene understanding from images, that is, for estimating multiple geometric and physical properties. The key
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for airBORNe applications” project (https://newborn-project.eu/) and develop a real-time Multiphysics Digital Twin for such a system accelerating future electric propulsion system development. Motivation
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mechanisms underlying infants’ abilities to process speech and other communicative signals such as faces, vocalizations, cries, laughter etc. in typical and possibly in atypical development, using neuroimaging
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Work group: Regulatory Genomics and Cancer Evolution Area of research: Scientific
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State Physics, Institute for Solid State Physics and Optics, HUN-REN Wigner Research Center for Physics, Budapest, Hungary, which is funded by the National Research Development and Innovation Office
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-for-integrative - genomics/) at Institut Pasteur, led by Laura Cantini, works at the interface of machine learning and biology (tools developed by the team: https://github.com/cantinilab ). The team is composed