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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 advancements in high-tech
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. computer science, physics, or mathematics. The successful candidate is expected to have a solid background in applied Machine Learning, Information Retrieval and/or photonic information processing. Successful
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At the Faculty of Engineering and Science, AAU Energy, one or more postdoc positions are available within the general study program. The PhD stipend is open for appointment from 1st September 2025
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The Section for Software Engineering and Computing Systems, at the Department of Electrical and Computer Engineering (ECE), invites applicants for a two-year postdoctoral position within the area of
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contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will be working primarily with
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contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will be working primarily with
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the stated framework of the research project (max. 1-2 pages). Please note that although the application process can be completed on the Aarhus University system without uploading publications, applications
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in the project. Who are we looking for? We are looking for candidates with a PhD degree and demonstrable experience in food ingredient isolation, rapid experimentation, process miniaturisation