Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Denmark
- University of Southern Denmark
- Nature Careers
- Aalborg University
- University of Copenhagen
- Aalborg Universitet
- Technical University Of Denmark
- Aarhus University
- Copenhagen Business School
- Danmarks Tekniske Universitet
- Technical University of Denmark;
- Copenhagen Business School , CBS
- Technical University of Denmark (DTU)
- 3 more »
- « less
-
Field
-
participation in six international training weeks, and international secondments with academic and non-academic partners. The PhD position will focus on the topic of “Developing locally integrated models
-
practices. The PhD projects will combine lightweight agricultural robots, manipulators for managing crop competition, and digital twins for modeling the working environment. If selected, your main focus will
-
of “Developing locally integrated models for sustainable energy investments in rural areas”. The sustainable transition of Europe’s energy infrastructure involves large investments in new infrastructure, such as
-
intersection of experimental testing, storage modelling, and energy system monitoring and control - contributing knowledge that can help data centers and other high-energy users reduce their environmental
-
of extracellular matrix (ECM) remodelling during wound healing. Yet, many proteolytic processes remain uncharacterized due to the complexity of the ECM and limitations in current detection strategies. Advances in
-
batteries (RFB), enabling affordable and durable long-duration energy storage. The approach is to use hierarchical structures, i.e., complex material layers that can be optimized to specific battery
-
thereafter. The project UP2MEN will train 15 doctoral students to face the complex challenge of predicting the impact of pollutants on the environment and water reuse as well as the recovery of valuable
-
date is (expected to be) March 1st 2026 or as soon as possible thereafter. The project UP2MEN will train 15 doctoral students to face the complex challenge of predicting the impact of pollutants
-
student to join our dynamic and interdisciplinary research team in the Section of Construction Materials and Durability at DTU Sustain. Through advanced experimental work and modelling, you will help
-
at the intersection of machine learning and operations research to design and operate the water networks of future sustainable societies. Water networks are characterized by their complex topologies and highly non