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is therefore of both theoretical and practical importance. Your work tasks This PhD project aims to develop structure-aware inference methods for modeling quantum transducers as open quantum systems
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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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, 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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, mathematical engineering, acoustics, machine learning or similar; Solid mathematical and analytical skills, including signal processing, optimization, machine learning or information theory; Experience in
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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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, mathematical engineering, mathematics, or similar; - Solid mathematical and analytical skills, including mathematical optimization and information theory; - Solid knowledge and skills in machine learning
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. degree in computer science, mathematical engineering, mathematics, or similar; - Solid mathematical and analytical skills, including mathematical optimization and information theory; - Solid
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and flow systems, with the goal of establishing clear structure–property relationships that enable efficient, stable, and reversible CO₂ capture. We are seeking a motivated candidate with a background
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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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. The position is offered in relation to the research program "Power Electronic Control Reliability and System Optimization" and the PhD Student will be positioned to the section for “Applied Power