20 channel-coding-electrical-engineering Postdoctoral positions at Aalborg University
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should have the following qualifications: Ph. D. degree in data science, electrical engineering, computer engineering, computer science, mathematical engineering, or similar. Proven track record in
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At the Department of Mathematical Sciences, faculty of Engineering & Science, at Aalborg University, we are looking for a postdoctoral researcher to join our group working on numerical methods
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of mechanical structures. The position combines independent research responsibilities with active participation in teaching and supervision at relevant engineering programmes. Your primary research work will
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close to 50-50% gender balance. Our working language is English. We are highly interdisciplinary and include experts within biomedical engineering, neuropsychology, pharmacology, biophysics, medicine with
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position as Postdoc. At the Faculty of Engineering and Science, Department of Chemistry and Bioscience, a three-year position as Postdoc in applied microbiology is open for appointment from October 1st, 2026
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hold a PhD degree in Computer Science, Artificial Intelligence, Electrical Engineering, or a closely related field or can document equivalent scientific qualifications at PhD level. Your research profile
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, is under threat from growing reliance on artificial intelligence (AI) technology. While designed to assist, AI recommendations may inadvertently impede cognitive reasoning and steer decision-making
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At the Faculty of Engineering and Science, Department of Materials and Production, a post doc position is available from 01.10.2026 or soon hereafter. The duration of the position is one year. Are
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application for our position as Postdoc. At the Faculty of Engineering and Science, Department of Chemistry and Bioscience, a position as Postdoc in the Medical Biotechnology Section is open for appointment
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of Mathematical Sciences, Faculty of Engineering and Science, Aalborg University. The project is a part of the ambitious Novo Nordisk Foundation Data Science Collaborative Programme, “Synthetic health data: ethical