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engaged postdoc willing to be part of a world-leading research environment and contribute to developing the next generation of data driven methods for optimization and control of large wind power plants
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-review journal papers is the preference Knowledge of big data analysis BSc/MSc thesis on topics like solar energy, building heating/cooling systems Approval and Enrolment The scholarship for the PhD degree
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increase of renewable energy sources, the focus on providing this essential service is shifting towards large offshore wind power plants, due to the high installed capacity (higher expected availability) and
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. This combination has significantly expanded the possibilities and goals of tapping into the potential of biological systems. At the centre, big data approaches and the analysis of biological systems
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interdisciplinary research, big data and data science, artificial intelligence (AI), internet of things (IoT), smart and secure societies, smart manufacturing, and life science. At DTU Compute we believe in a diverse
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competences: Essential experience and skills: Master’s degree in Bioinformatics, Computational Biology, Neuroscience or in a related field Prior experience working with genome scale or big-data analysis
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to be coordinated with joint efforts in field campaigns and data analysis. Over recent decades, some efforts have been made to recover and improve coastal marine areas, e.g. in response to European
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will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD
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can be utilized, e.g., the considerable thermal mass of the swimming pool, the large amount of waste heat, the distinct ventilation system, where the design and operation of the air handling and
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biosynthesis. Previous hands-on experience with LC-MS, MALDI and NMR is advantageous. Experience in genome-mining and genetic handling is advantageous. Experience in large metabolomics data handling is