54 web-developer-"https:"-"https:"-"https:" Postdoctoral positions at Aarhus University
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Develop industrial process digital twin models based on the fusion of mechanistic and data-driven approaches. Develop predictive maintenance and fault diagnosis algorithms for critical equipment (e.g
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Nordisk NERD grant, which will fund our research activities in quantum materials for the next 7 years. What we offer The successful candidate is offered: access to a well-developed research infrastructure
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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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imaging, deep proteomics, metabolomics, metaproteomics, and machine learning (ML) approaches to develop diagnostic classifiers, spatial tissue atlases, and identify potential therapeutic targets
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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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be used to prepare lamella samples for high resolution cryo-EM imaging and tomography. From AI assisted image analysis, 3D models for key proteins and biomolecular complexes will be fitted into 3D
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main areas of work: Exploration of heterogeneity in GDM risk and GDM subtypes and application of these insights to develop a GDM risk prediction model, based on data from The Danish Blood Donor Study
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an attractive and inspiring workplace for all and to foster a culture in which each individual has opportunities to thrive, achieve and develop. We view equality and diversity as assets, and we welcome all
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in international venues related to children and computing and/or artificial intelligence experience with software development or prototyping experience participating in national and international
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to thrive, achieve and develop. We view equality and diversity as assets, and we welcome all applicants. Research activities will be evaluated in relation to actual research time. Thus, we encourage