21 postdoc-distributed-algorithms PhD scholarships at Technical University of Denmark
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on qualified candidates for the position. DTU Chemistry is a leading chemistry department with 28 faculty, 30 postdocs, and 55 PhD students. The Organic Chemistry Section consists of 9 research groups spanning
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information may be obtained from Associate Professor Fatemeh Ajalloueian, faaj@dtu.dk , and Postdoc Gohar Soufi, gohsoo@dtu.dk . You can read more about DTU Health Tech at www.healthtech.dtu.dk . If you are
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of Europe’s ‘green transition’ to clean energy. You will work on cutting-edge research tasks, with objectives including • new algorithms and strategies to improve autonomous Airborne Wind Energy (AWE) operation
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that allow the development of context-aware, distributed, and embedded cyber-physical systems, with a particular focus on Internet-of-Things (IoT) and the computing continuum eras. Our vision is to pioneer
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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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goals Teach and co-supervise BSc and MSc student projects Participate in Arctic field campaigns We expect you to have: Experience in working with large data sets and development of algorithms. At least
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including PhD students and postdocs. Also, a good sense of humor will be appreciated. Good English language skills will be required. The main criterion for selection will be the research potential
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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
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50 PhD students. More than 35 nationalities are represented at the Institute, and we support an equal gender distribution. We are located in Lyngby, Hirtshals, Nykøbing Mors, and Silkeborg and have
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to provide dynamic transformer rating, and how to use batteries in distribution grids. Using e.g., the concepts of the Smart-Energy OS, which is a hierarchy of methods for aggregation, forecasting and control