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for data processing and analysis will be used. The fellow will also take part in modeling and simulation activities, as well as in the dissemination of results. Specific tasks include: A2. Data Collection
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the Norms for Grant Assignment and Management within R&D Projects, by the Code of Administrative Procedure (CPA), all in their current wording, and by other applicable national and community legislation
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Fellow Statute (EBI), by the Norms for Grant Assignment and Management within R&D Projects, by the Code of Administrative Procedure (CPA), all in their current wording, and by other applicable national and
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their chemical structure and composition through structure–processing–property correlation analysis and model-based optimization of processing parameters. Leveraging these methods, we will demonstrate
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
; Selection process Selection methods: The selection methods will be the following: Curriculum evaluation, with the respective weight of 100%. Composition of the selection Jury: Marta Fajardo, Nelson Lopes
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grant, with 1 position(s), under the project Liquid3D GA:101045072, title Liquid3D : 3D Printed Soft-Matter Electronics based on Liquid Metal Composites: Nature Inspired, Nature-Friendly, Resilient
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The Computer Vision-Core Artificial Intelligence Research (Vision-CAIR ) group led by Prof. Mohamed Elhoseiny at the CS Program of the King Abdullah University of Science and Technology (KAUST) is
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machine learning, big-data analytics, and data-driven approaches to optimise composition–process–property relationships. Key responsibilities will include: Research: Conduct additive manufacturing research
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18 Mar 2026 Job Information Organisation/Company FEUP Department Human Resources Division Research Field Engineering » Electrical engineering Engineering » Computer engineering Engineering » Other
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the complexity further to effectively plan their movement and deployment. Existing methods rely on fixed data and static models, which struggle to adapt to real-time changes and unpredictable conditions. This