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companies and regulators, understand and sociotechnically construct ‘data quality’ in energy systems, both now and in the green transition future. The postdoc should, ideally, have experience of critical data
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experience in the following areas: Knowledge of computer science and machine learning. Familiarity with electrical and electronic engineering. Proficiency in programming languages such as Python, C++
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for the treatment of PFAS contaminated water. The postdoc will work collaboratively within the research groups of Assoc. Prof. Bekir Engin Eser, Assoc. Prof. Leendert Vergeynst and Assoc. Prof. Kasper Vita Kristensen
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@dtu.dk You can read more about DTU Space and the division of Astrophysics and Atmospheric Physics at https://www.space.dtu.dk/english/ If you are applying from abroad, you may find useful information
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31 Jan 2026 Job Information Organisation/Company Aalborg Universitet Department The Faculty of Engineering and Science, Department of Energy, Esbjerg Energy Section Research Field Engineering