94 web-developer-"https:"-"https:"-"https:" positions at Aarhus University in Denmark
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
-secondary and university levels, with particular attention to language pedagogy, curriculum development and teacher education. Applicants must have native or near-native proficiency in at least one of the
-
daily life. We encourage open communication and develop a cohesive sense of community across teams and disciplines. A flexible working environment that supports work-life balance and individual needs
-
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
-
imaging, deep proteomics, metabolomics, metaproteomics, and machine learning (ML) approaches to develop diagnostic classifiers, spatial tissue atlases, and identify potential therapeutic targets
-
has opportunities 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
-
internationally and contribute to Aarhus University’s core activities in research, teaching, supervision, talent development and knowledge exchange. Research The Department of Scandinavian Studies and Experience
-
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
-
Sciences engages with companies and other societal entities. The position offers a rare opportunity to develop a new organisational unit with a clear mandate, strong institutional backing, and significant
-
responsibilities across Aarhus University’s core activities in research, teaching and supervision, talent development and knowledge exchange within intercultural studies. The Department of English takes a broad view
-
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