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Copenhagen, and become part of the Energy Markets & Analytics (EMA) Section (link ), a vibrant, international group of 13 researchers from 8 countries, with expertise across energy systems and markets
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research questions and project plans. You will acquire and manage new research projects – primarily medium-sized ones – to strengthen and, where possible, expand the fisheries innovation research portfolio
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creative candidates with a master’s degree and strong analytical skills, who wish to contribute to cutting edge research in this area. The work will be conducted within the SMART 6GSAT multidisciplinary
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reliability. The research will also integrate advanced AI and machine learning techniques into ECU DTs to support predictive analytics, adaptive calibration, and real-time anomaly detection. By doing so, the
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' model. The iterative model will explore vulnerabilities and feedback loops between hydrological processes, infrastructure, and social actors. 3. Embedded Learning: Placements with the Environment Agency
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. Until now, specific EN fingerprints of localized corrosion are determined manually. This is a tedious procedure that requires considerable expert knowledge. Artificial intelligence or machine learning (AI
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An outstanding, motivated, enthusiastic, curiosity-driven researcher. Deep analytical skills, initiative, creativity, and flexibility are highly desired. An MSc degree in Mechanical Engineering, Materials Science
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. Motivated to develop your teaching skills and coach students. Fluent in spoken and written English (C1 level). You are: A talented, motivated, and enthusiastic researcher. Analytical skills, initiative and
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a master’s degree and strong analytical skills, who wish to contribute to cutting edge research in this area. The work will be conducted within the SMART 6GSAT multidisciplinary research center and in
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Infrastructure? No Offer Description Work group: PGI-12 - Quantum Computing Analytics Area of research: PHD Thesis Job description: Your Job: Research: employ on quantum field theory in curved spacetime to model