Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Aalborg University
- University of Copenhagen
- Aarhus University
- Aalborg Universitet
- Technical University Of Denmark
- Technical University of Denmark
- Technical University of Denmark (DTU)
- Copenhagen Business School
- Geological Survey of Denmark and Greenland (GEUS)
- University of Southern Denmark (SDU)
- Graduate School of Arts, Aarhus University
- Technical University of Denmark;
- University of Southern Denmark
- University of Southern Denmark;
- 4 more »
- « less
-
Field
-
Department of Food Science (FOOD KU), Faculty of Science (SCIENCE) invites applicants for a PhD fellowship in Food Engineering, “Linking Powder Structure to Performance” The project is in
-
At the Faculty of Engineering and Science, AAU Energy, a position as PhD stipend is available within the general study program. The stipend is open for appointment from 1st September 2026 or soon
-
18 Sep 2026 Job Information Organisation/Company Aalborg Universitet Department The Technical Faculty of IT and Design, Department of Electronic Systems, Connectivity, Aalborg Research Field
-
20 Sep 2026 Job Information Organisation/Company Aalborg Universitet Department The Faculty of Engineering and Science, Department of Energy, Section for Power Electronics System Integration and
-
Engineering (DTU Construct), Technical University of Denmark (DTU), you will help advance the state of the art in multiphysics modelling through a unique international research collaboration involving DTU
-
Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Electrical and Computer Engineering programme. The position
-
master's students in areas related to your expertise. Your competencies We expect you to have: A relevant master's degree in energy engineering, electrical engineering, mechanical engineering, chemical
-
) for education and professional practice, both at the individual level and/or in collaborative contexts. The project should explore how AI and other emerging digital technologies shape and transform work tasks
-
. Together with variations in processing parameters, this complexity makes it challenging to ensure that specific material properties remain stable from batch to batch. You will explore how Machine Learning
-
is expected that candidate awarded the PhD fellowship will be able to commence the PhD degree programme on 1 February 2027. Where to apply Website https://phd.arts.au.dk/applicants/open-and-specific