Sort by
Refine Your Search
-
Listed
-
Employer
- Technical University of Denmark
- Nature Careers
- Aarhus University
- University of Southern Denmark
- Aalborg University
- University of Copenhagen
- Copenhagen Business School , CBS
- ;
- Aalborg Universitet
- Copenhagen Business School
- Queen Mary University of London
- Technical University Of Denmark
- 2 more »
- « less
-
Field
-
neuroscience, focusing on sleep and glymphatic system function in health and pain pathology. Information on the department can be found at: https://ctn.ku.dk/ . CTN is part of the Faculty of Health and Medical
-
The Department of the Built Environment (BUILD) at The Technical Faculty of Engineering and Science invites applications for a position as postdoc in the field of data-driven
-
for two educations: Molecular Biology and Molecular Medicine with a yearly uptake of 160 students in total. Please refer to http://mbg.au.dk/ for further information about The Department of Molecular
-
The project may address national or international problems, and should do so using appropriate methods, qualitative and/or quantitative. Access to Danish data sources, such as registry data, respondents
-
patent filings. The work will be centred around topics such as machine learning for communications, communication theory, signal processing for communications, coding theory, and information theory. Your
-
The Department of Digital Design and Information Studies within the School of Communication and Culture at Aarhus University invites applications for a postdoctoral position affiliated with
-
The Department of Digital Design and Information Studies within the School of Communication and Culture at Aarhus University invites applications for a postdoctoral position affiliated with
-
27 Aug 2025 Job Information Organisation/Company Aalborg Universitet Department The Technical Faculty of IT and Design, Department of Computer Science, Department of Computer Science, Copenhagen
-
: Background in Data Science, Computer Science or related fields; Working experience in implementing AI models (not just loading pre-trained model). PyTorch framework is preferred; Experience with APIs
-
evaluating student learning in STEM environments. The ideal candidate would demonstrate competence with a mix of methodologies, including primary data capture (eg interviews and surveys) as