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monitoring and measurement techniques, this project aims to use the data-driven approach to perform battery state estimation on real-life use cases. DTU Wind offers you the opportunity to pursue your dreams
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“STOREDGE”. You will be part of a very dedicated team with a senior project manager and several more PhD and postdoc researchers, focusing on cutting-edge and applied research to address the challenges
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of solvers for stochastic optimization problems, and test the methods on real-life data. As part of the PhD you will be following advanced courses to extend your skills, implement and test algorithms, and
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interest in sustainable energy Quantitative skills and experience with data mining and handling big datasets Excellent communication skills, both in writing and oral presentation Open-minded team player
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science. The section comprises three PIs and approximately 25 PhD students and postdocs. Qualifications Good communication skills in English, both written and spoken. Be able to work independently and take