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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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bioreactor performance. Developing and applying modeling tools to evaluate enzyme activity, and process performance across scales. Advance bioprocess optimization of complex microbial systems, including multi
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optimization, using machine learning and advanced metaheuristics. Furthermore, you should (together with the team) participate in development of solvers for stochastic optimization problems and test the methods
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, international group of 13 researchers from 8 countries, with expertise across energy systems and markets, optimization, control, game theory, and machine learning. Interdisciplinary by design: Work at the
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on holistic understanding from regional net-zero. The PhD project is part of the Regional Energy, Carbon and Land Management initiative, focusing on optimizing energy infrastructure, land use and carbon flows
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fast operation. The project comprises simulations and design, nanofabrication in collaboration with colleagues, and experimental characterization. Project C: Topology optimization of nanocavity
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projects; this can entail working alongside domain experts to extract relevant knowledge, and programming using suitable models to infuse that knowledge with ML methods, thus aiming to optimize performance
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, programming, and computer simulations. The focus of the project (funded by the Danish Council for Independent Research) is to explore the interaction between optimally controlled coherent (laser) light fields
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Job Description Are you interested in working at the intersection of optimal control, AI algorithms, and game theory, on problems that matter for real-world critical infrastructure? This PhD