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DTU Tenure Track Assistant Professor in Nutrient-Focused Processing in Ultra-Processed Food Syste...
engineering, nutrition science, and data-driven modeling to develop healthier and more sustainable food systems. We seek a highly motivated and innovative individual to join our team and collaborate closely
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colleague for this position, able to partake the following primary tasks: Model remanufacturing effects on materials (thermoplastics and metals) properties and processability – both data-driven and multi
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that integrate state-of-the-art Large Language Models (LLMs) with novel logic-based multi-robot planning algorithms. This work will be evaluated through simulations and with physical drones in mock search-and
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Job Description If you are ready to launch your research career in advanced manufacturing and want to build cutting-edge skills in AI and real-time data-driven production, this PhD opportunity is
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campus. Job description The Assistant Professorship is part of a strategic effort to strengthen our core capabilities in industrial and manufacturing systems engineering, enabling data-driven operations
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this area. We have excellent facilities and competences for fabrication, modeling, testing and characterization of associated materials and devices. Responsibilities and qualifications The focus
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You will carry out research in data-driven modelling for structural engineering problems. You will contribute to teaching in our BSc and MSc programs, and supervise BSc projects, MSc theses and Ph.D
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engineering, nutrition science, and data-driven modeling to develop healthier and more sustainable food systems. We seek a highly motivated and innovative individual to join our team and collaborate closely
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surfaces that maximize light absorption in thin-film solar cells. A key aim is to establish a simulation-driven workflow that systematically explores the design space of nanostructures using different
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light-trapping surfaces that maximize light absorption in thin-film solar cells. A key aim is to establish a simulation-driven workflow that systematically explores the design space of nanostructures