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background in engineering, with a keen interest in scientific programming, machine learning and reliability engineering. Your curiosity drives you to explore and understand the intricacies of wind energy
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experience within the field of optimization and machine learning You must also fulfill the requirements for admission to a PhD program at DTU. You must have a two-year master's degree (120 ECTS points) or a
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science, machine learning and other methods. Within the section, you will be working within a diverse team of scientists at multiple levels of their career. Approval and Enrolment The scholarship
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multidisciplinary research in energy markets, optimization, game theory, and machine learning. Our team of 13 members (link ) from 10 different nationalities values diversity and includes experts from a range of