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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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MS datasets. Proven experience in AI-assisted coding focused on prompt engineering, code validation, and debugging to ensure logical consistency and performance is an advantage A documented publication
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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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Postdoc in Biomedical modelling of the human colon and surrounding organs Department of Computer Science Faculty of Science University of Copenhagen The Department of Computer Science invites