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for a research grant within the framework of project 2023.11234.PEX – GAI4FD - Evaluation methodology for Generative Artificial Intelligence Super-Resolution models for Fluid Dynamics, with DOI https
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Escola Superior de Design, Gestão e Tecnologias da Produção de Aveiro - Norte da Universidade de Aveiro | Portugal | about 1 month ago
Regulations of the University of Aveiro. 5. Work Plan: This project aims to develop solutions based on Artificial Intelligence for optimizing additive manufacturing processes. Machine learning techniques will
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the framework of “Assessment and observation of the structural behaviour of historical built assets resorting to artificial intelligence techniques”, financed by the Faculty of Engineering of University
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adaptable to electric agricultural vehicles; 2) Integrate renewable sources and storage batteries to ensure vehicle energy autonomy and increased efficiency; 3) Develop and implement Artificial Intelligence
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Research Grant, within the scope of the project RETAILL - Retail Using Technology Based on Artificial Intelligence, funded by Programa temático Inovação e Transição Digital (COMPETE 2030), under Fundo
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Scholarship code: SRS-25034 This scholarship is open to Master of Science (research) applicants. This prestigious scholarship is provided by the Australian Centre for Artificial Intelligence in
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Description Public notice for one research grant with Refª BI|2025/774 Project AILA – Artificial Intelligence Legal Assistant - Refª 2024.07657.IACDC funded by Fundação para a Ciência e a Tecnologia, under the
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the operational to the climatic scale, also making use of artificial intelligence technologies, data-driven approaches, theoretical physics methods, and high-performance computing. Where to apply Website https
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solution will utilize information collected through specific sensors installed in the infrastructure, which will be processed by advanced Artificial Intelligence algorithms. The works listed for this grant
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of the Scholarship Objective: This scholarship is part of the PULSE project. This project aims to develop artificial intelligence-based solutions for non-invasive assessment of the heart's electromechanical activity