Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Denmark
- University of Southern Denmark
- Nature Careers
- Aalborg University
- Technical University Of Denmark
- University of Copenhagen
- Aarhus University
- ; Technical University of Denmark
- Aalborg Universitet
- Technical University of Denmark;
- Copenhagen Business School , CBS
- Max Planck Society
- Roskilde University
- 3 more »
- « less
-
Field
-
PhD fellowship/scholarship - Intercropping of cover crops and vegetables to mitigate nitrate leac...
intensive vegetable production; Sustain soil fertility, carbon sequestration and biodiversity in vegetable production with high yields. A Living Lab methodology is used in an agroecological framework
-
includes researchers and developers at universities and industries on both sides of the Danish-German border. The position starts on September 1, 2025, or as soon as possible thereafter, depending
-
electronics, which includes researchers and developers at universities and industries on both sides of the Danish-German border. The position starts on September 1, 2025, or as soon as possible thereafter
-
-situ spectroscopic and microscopic methods, including XRD, Raman spectroscopy, TEM, and XPS. Evaluating catalytic performance for various electrochemical reactions, such as the oxygen reduction reaction
-
potentially host the PhD student for research visits. The research group is located at the main campus of SDU, which is located in Odense, the third largest city in Denmark. Denmark is known for its high
-
of the project is to obtain a deeper understanding of (1) the hybrid threats that open societies are facing, such as cyber-attacks, high-technological warfare, economic coercion, disinformation and political
-
at 23:59 hours local Danish time The position is funded by the German Research Foundation (DFG), project “Abstract Techniques for Programming Languages and Secure Compilation”. The project builds
-
foundation, that enables trade-offs between functional safety, security, quantitative performance, and exploitation of modern machine learning technology. It is the overall hypothesis of S4OS that a full
-
loads — EV fleets, residential batteries, smart heat pumps, and data-center clusters — across distribution and transmission networks is critical to unlocking deep decarbonization and maintaining grid
-
for resilient high-mix low-volume manufacturing. The aim of this PhD project is to enable fast setup of robot manipulators to complete advanced manufacturing tasks by the use of digital models. This should be