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at the forefront of plasma processing and surface engineering. Key Responsibilities: Lead the design, optimization, and scale-up of PVD and CVD plasma-based processes, with an emphasis on high-performance composite
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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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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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recognized research environment in natural language processing. The group currently comprises five permanent faculty and around 20 doctoral and post-doctoral researchers. LTG participates in high-visibility
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24 Feb 2026 Job Information Organisation/Company Universidade de Coimbra Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Master Positions
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24 Feb 2026 Job Information Organisation/Company Universidade de Coimbra Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Master Positions
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fracture model to predict the macroscopic fracture energy from the bond-level dissipation and failure mechanisms experimentally observed in the process-zone. 4.Planned secondments Secondments will be decided
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 23 days ago
modelling and stepped revetments; development of pre- and post-processing scripts to analyse numerical modelling simulations; implementation of a phase-resolving wave model to simulate wave propagation and
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-of-the-art models for computer vision based on Machine Learning. Work plan: - Analysis and study of existing resources. - Analysis of the state of the art in universal adversarial attacks on computer vision