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land use change is one of the largest perturbations to the global carbon cycle, so is an essential lever to limit climate change. However, predictions of how land use impacts climate remain highly
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optimisation. State-of-the-art digital models and AI tools that incorporate machine learning could enable predictions of the dry fibre forming that are subsequently used as input into the RTM process model
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the scientific supervision of Professor Ana Rosanete Lourenço Reis. Grant duration: Initial duration of 12 months, with the predicted starting date in january 2026, on an exclusive basis eventually renewable but
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of epidemiological maps and prediction models. The MOBVEC project proposes that this technology represents the first line of defense against disease vectors globally. It has the participation of seven entities from
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developing a suite of deployable tools and predictive models. These resources will enable Syensqo to identify optimal polymer film and prepreg chemistry combinations, facilitating the production of defect-free
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to be developed within the framework of project “RheumaAID – AI-Enhanced Predictive and Proactive Care for Rheumatic and Musculoskeletal Diseases, with Notice No. Fundação para a Ciência e a Tecnologia 04
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
that describes this system through an analysis based on black hole perturbation theory. In a second phase, numerical computation of the results will be implemented to obtain quantitative predictions for different
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Magalhães Mendes. Grant duration: Initial duration of 3 months, with the predicted starting date in December 2025, on an exclusive basis eventually renewable but never exceeding the end of the project
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the scientific supervision of Professor Abílio Manuel Pinho de Jesus and Professor Rúben Filipe da Silva Santos. Grant duration: Initial duration of 6 months, with the predicted starting date in December 2025
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Innovation in Health, under the scientific supervision of Professor Fernão D. Magalhães and Doctor Artur M. Pinto, and on an exclusive basis. Grant duration: Initial duration of 6 months, with the predicted