Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
to think independently, in human-AI interaction. You will connect the project's technical work with its grounding in cognitive theory. The position suits candidates with a PhD in Human-Computer Interaction
-
We hereby invite applications for one or more PhD position focusing on the development and application of hyperspectral imaging technologies for bulk forensic evidence analysis. The project aims
-
relation to the position, and intentions and visions for the position Curriculum Vitae (CV) Diplomas (master's degree diploma and PhD diploma) List of publications, with an indication of the attached
-
At the Faculty of Social Sciences and Humanities, Aalborg University Business School, we invite applications for a PhD position in business economics, focusing on Circular Economy Practices and
-
of IT and Design (TECH) at Aalborg University. The stipend is open for appointments from 1st November 2026 or soon hereafter. The duration of the position is three years. Your work tasks The PhD candidate
-
possible thereafter. The appointment is for a period of three years. The successful candidate will be enrolled in the PhD programme in Biomedical Engineering and Neuroscience at the Faculty of Medicine
-
. The department has campuses in Aalborg and Esbjerg; this position is based in Aalborg. Read more at www.energy.aau.dk. Qualification requirements Appointment as postdoc requires academic qualifications at PhD
-
. The position is fixed term and full-time and includes both research and teaching activities. The PhD scholarship is part of the research project Not Liking School: Lived Experience of School Emotions, funded by
-
organizational theory, the learning sciences, digital transformation, digital technologies, human-computer interaction, and related fields. Within the specific field, the PhD student will engage in both research
-
The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a PhD stipend in the field of secure machine learning within the general study programme