42 quantum-engineering-"https:"-"https:"-"https:"-"Fraunhofer-Gesellschaft" Postdoctoral positions at Aarhus University in Denmark
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jointly hosted by the Department of Chemistry and the Department of Biological and Chemical Engineering, and will be embedded within the Partoon and Daasbjerg Groups at the Novo Nordisk Foundation CO
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The Department of Business Development and Technology at Aarhus University invites applications for an 18‑month postdoctoral position in AI Ethics for the Public Sector, starting 1 September 2026
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Technical Sciences refers to the Ministerial Order on the Appointment of Academic Staff at Danish Universities under the Danish Ministry of Science, Technology and Innovation . The application must be in
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The Novo Nordisk Foundation has established a world-leading interdisciplinary research center to develop knowledge and technology for capturing and recycling carbon dioxide. The center is based
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at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum
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) micro-CT imaging of breast cancer combining cutting-edge imaging technology with clinical pathology to develop quantitative 3D imaging biomarkers that bridge high-resolution micro-CT and histology. Our
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@au.dk Formalities and salary range Natural Sciences refers to the Ministerial Order on the Appointment of Academic Staff at Danish Universities under the Danish Ministry of Science, Technology and
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microscopy, optical interferometry, vacuum technology, finite element method simulations will be involved. Applicants should hold a PhD in Physics, Nano-science, Engineering or similar, experience with optics
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Join us at the Department of Electrical and Computer Engineering at Aarhus University for a postdoctoral position focused on deep learning based analysis of remote sensing data for groundwater
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, electrical engineering, etc. Prior experience in (1) image processing, particularly for radiographic and computed tomographic data as well as mesh-type data, and (2) machine learning, particularly deep