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applications. Grid-interactive efficient buildings rely on emerging digital and cyber-physical systems to optimize HVAC operations for both energy efficiency and demand response. While Model Predictive Control
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systems can augment professionals’ creativity toward concurrent optimization of human health and energy efficiency. This PhD position will combine fieldwork in real-world architectural settings with human
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specifically you will be involved in assessing the dietary intake of iron and zinc in human volunteers eating either a habitual Danish diet or an optimized meat- or plant-based diet. Furthermore, you will be
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regarding initial design concepts. We will explore how AI systems can augment professionals’ creativity toward concurrent optimization of human health and energy efficiency. This PhD position will combine
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shaping and executing the experimental strategy. Research Environment and Collaborative Structure The position is embedded in the Protein Research Group (PRG), an internationally recognized center
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) for measuring the quality, shape and the neutron focusing performance of the Wolter optics. The work will be performed in close collaboration with a postdoc who will work on simulating the optimal design of
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every qualification listed above. Stipend 2: Data-driven modeling and optimization for efficient and secure-by-design Power Electronics (Aalborg) The PhD position focuses on next‑generation power
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engineering, acoustics, machine learning or similar; Solid mathematical and analytical skills, including signal processing, optimization, machine learning or information theory; Experience in programming, e.g
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the global top tier. For example, csrankings.org lists DESS as no. 2 in Europe and no. 11 in the world within Databases for the period 2021-2025. More information about DESS can be found at: https
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Marie-Skłodowska-Curie Action (MSCA) grant on WindConnect project. The project The WindConnect (wind farm control and integration in sector-coupled power systems https://cordis.europa.eu/project/id