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at the Copenhagen campus and one at the Aalborg campus. The themes cover key research areas of the department. Stipend no. 3: Data-driven methods for design and operation of human-centric energy-optimized indoor
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algorithms for hard combinatorial optimisation problems. Have some knowledge about stochastic optimization. Have knowledge about implementation of metaheuristics. Be passionate about research and pushing
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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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bioprocess optimization. The successful candidate will contribute to the development of sustainable bioconversion platforms for the transformation of biogas-derived carbon into amino acid-enriched biomass
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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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) 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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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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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
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the Marie Skłodowska-Curie Actions (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
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green transition. Due to the complexity and heterogeneity of the biological mechanisms underlying fermentation, achieving optimal performance often requires fine-grained, time-dependent, control