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the VILLUM FONDEN. The overall aim of the project is to introduce microstructural engineering to the field of additive manufacturing (AM) of metals. This is to set the stage for optimizing metals
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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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green transition. Due to the complexity and heterogeneity of the biological mechanisms underlying fermentation, achieving optimal performance often requires fine-grained, time-dependent, control
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crucial role in the modelling, design, and optimization of various systems in product and process engineering. Despite significant progress made over the decades, existing thermodynamic models and theories
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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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, 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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for biomarker detection exploring redox amplification and dielectrophoresis. Our hypothesis is that specifically designed and optimized 3D carbon micro- and nanoelectrodes fabricated at DTU Nanolab will enable
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, mathematical optimization, laser physics, integrated photonics, condensed matter physics, and spectroscopy. If you are passionate about advancing nanophotonics through cutting-edge research, we warmly encourage
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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
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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