51 developer-"https:"-"https:"-"https:"-"UCL"-"UCL" Postdoctoral positions at Aarhus University in Denmark
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numerous researchers from the department have established companies to develop new medicinal treatments founded in professional scientific basic research. You can read more about the department here and
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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 applicants. Research
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. The goal is to better understand the main drivers behind the personality cult emerging around Xi Jinping and how it has developed over time, possibly in comparison with other, previous Chinese leaders
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collaboration with the project team take an active part in developing and fulfilling the different processes, meetings and events related to the project in close collaboration with the project team Qualifications
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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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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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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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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