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mathematical foundation of machine learning models. You will be responsible for developing scientific machine learning methodologies enabling new approaches for solving machine learning problems including
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, including electrical engineering, control theory, industrial engineering, electronics engineering, energy policy, data science, and applied mathematics. As part of the Alliance program, your project will be
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systems Documented knowledge in power and energy markets preferably Nordic and European markets Documented knowledge in dynamic modelling of power system Knowledge of mathematical optimization. Knowledge
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degrees in either the natural sciences (chemistry, physics, mathematical/computational biology) or in the formal sciences (statistics, computer science, mathematics), but must have a serious interest in
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structured and mathematical mind-set, and a self-motivated drive to excel in research. Prior experience with research in photonic crystals, band topology, or symmetry analysis is an advantage. Only candidates
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– Department of Mathematics and Computer Science – is an internationally recognised academic environment with over 400 employees and 10 research sections. We broadly cover digital technologies within mathematics
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Job Description Are you a budding scientist eager to build a strong foundation for a successful research career? The DTU National Food Institute invites applications for a PhD scholarship focused on the optimization of bioactive compound extraction from various seaweeds for the development of...
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. You should have a strong academic background in engineering, applied mathematics, or computer science, combined with a clear interest in scientific programming, machine learning, and data analytics
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Applied Thermodynamics, Transport Processes and Mathematical Modelling. The center has recently entered dynamically into Biorefinery Conversions research field. The focus of Biorefinery Conversions research
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scientific backgrounds, including electrical engineering, industrial engineering, operations research, data science, and applied mathematics. Many of our former students are now successful scientists in both