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Field
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Postdoctoral Researcher to lead technical service delivery for the Luxembourg Digital Innovation Hub (L-DIH 2.0). Operating at the intersection of process systems engineering, data-driven modeling, and applied
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This project addresses a fundamental question in digital twin development for fusion energy systems: the relative roles and limitations of physics-based models, experimental data, and AI-driven
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ecological footprint reduction, and economic viability into consideration, when developing the solutions. This project aims to achieve these objectives by applying digital technologies, such as AI, robot, and
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technologies based on a digital twin. The digital twin will combine information from the physical structure with models and monitoring data to assess its current structural state and predict its remaining
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the Marie Skłodowska-Curie Doctoral Network (ENDOTRAIN). Join Europe’s first doctoral network in digital endocrinology – integrating AI, sensor technology, omics, and clinical medicine to transform diagnosis
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, the project addresses one of the key challenges of digital transformation: leveraging digital technologies not only to make organizations more efficient, but also more sustainable.The work combines
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strategies. To address this challenge, the project aims to develop structural health monitoring technologies based on a digital twin. The digital twin will combine information from the physical structure with
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. To address this challenge, the project aims to develop structural health monitoring technologies based on a digital twin. The digital twin will combine information from the physical structure with models and
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methods, and governance models capable of identifying where power is concentrated and how it might be reconfigured to preserve organizational autonomy and national digital sovereignty. While principles
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scientifically rigorous research while working effectively in a multidisciplinary team. Good written and spoken English. Experience with some of the areas of electrolyzer technologies, digital twins, model order