Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Technical University of Denmark
- Aarhus University
- Aalborg University
- University of Southern Denmark
- Nature Careers
- University of Copenhagen
- Aarhus University;
- Copenhagen Business School
- University of Southern Denmark;
- ;
- Aalborg Universitet
- Technical University of Denmark;
- Aarhus Universitet
- Danmarks Tekniske Universitet
- Graduate School of Arts, Aarhus University
- Technical University Of Denmark
- University of Oxford
- Xi'an Jiaotong - Liverpool University
- 8 more »
- « less
-
Field
-
Job Description We are looking for a Research Assistant to work with the Cancer Systems Biology Group at the Section of Bioinformatics at the Department of Health Technology (DTU Health Tech) at DTU
-
The Section for Electrical Energy Technology at the Department of Electrical and Computer Engineering (ECE), Aarhus University, is in a phase of rapid growth in both education and research
-
Researcher. At the Faculty of Engineering and Science, Department of Chemistry and Bioscience, a position as Senior Researcher in Databases of Microbes in Engineered Systems is open for appointment from 1 June
-
part of the team of Prof. Alfred Spormann in the Department of Chemistry at the NNF CO 2 Research Center (CORC) to engage in cutting edge systems-level research in microbial C1-6 metabolism! Starting
-
At the Faculty of Engineering and Science, AAU Energy, three permanent positions as Associate Professor within the Section of Applied Power Electronic Systems (APES) are open for appointments
-
. The project is conducted in collaboration between Aarhus University, the Technical University of Denmark (DTU), and industrial partners. The MR Research Centre provides a collaborative research
-
The Department of the Built Environment (BUILD) at The Technical Faculty of Engineering and Science invites applications for a position of Associate Professor in Building Energy Systems and Indoor
-
process systems engineering. The position aims to advance physically consistent and predictive thermodynamic modeling, including the integration of advanced machine learning methods, to support process and