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Hammershøi (Department of Electronic Systems). This PhD project is in very close collaboration with another PhD candidate in the DFF project, with main responsibilities for developing and implementing audio
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unpredictable operational constraints. A successful candidate will have a solid foundation on artificial intelligence for predictive and/or proscriptive problems, and will demonstrate the ability to use
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. The applicant's ability to complete the research training. Language skills: The candidate must demonstrate language skills to handle both spoken and written English at a level suitable for scientific communication
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for Research of Smart Batteries- CROSBAT” and is financially supported by the Villum Investigator– Smart Battery Project. The PhD student will be positioned in the“Section B- Power Electronics System Integration
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that can be used as drug targets. More recently, the availability of rich, longitudinal phenotypic data from national registries and electronic health records has allowed us to go further in terms