Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Aarhus University
- Aalborg University
- University of Copenhagen
- Aalborg Universitet
- Copenhagen Business School
- Technical University Of Denmark
- Aarhus University (AU)
- Aarhus University;
- Geological Survey of Denmark and Greenland (GEUS)
- Technical University of Denmark;
- University of Southern Denmark (SDU)
- Roskilde University
- Technical University of Denmark
- Technical University of Denmark (DTU)
- Graduate School of Arts, Aarhus University
- University of Southern Denmark
- University of Southern Denmark;
- ;
- Faculty of Medicine, Aalborg University
- RegionH
- TEGNOLOGY APS
- University of Copenhagen;
- 12 more »
- « less
-
Field
-
20 Sep 2026 Job Information Organisation/Company Aalborg Universitet Department The Faculty of Engineering and Science, Department of Energy, Section for applied power electronic systems Research
-
tasks through, and make it easier for the Research Theme Coordinators and theme members to get things done. You will also help coordinate activities across themes and ensure relevant information is shared
-
Aarhus C, Denmark and the area of employment is Aarhus University with related departments. Contact information For further information, please contact: Dr. Chao Sun, [email protected] Deadline
-
experience in pig nutrition. Experience in conducting different types of animal experiments. Skills in the analysis of experimental data and the scientific communication of research results. For non
-
industrial partners. In particular, you will: Develop and validate physics-based, data-driven, or hybrid digital twins of Electrolysis systems, capturing their electrochemical, thermal, flow, and system-level
-
translating consumer insights into new food products, concepts or experiences; • experience with univariate and multivariate statistical analysis of sensory and consumer data, including the ability
-
other relevant stakeholders. The PhD student will contribute to the prototype development, feasibility test and evaluation of innovative cross-sectoral pathways and will be involved in data collection
-
Stochastics. The positions have 1st January 2027 as earliest possible start dates. You can find more information about the postdoc positions available in the areas listed here: https://math.au.dk/en/about
-
postdoctoral researcher to join an interdisciplinary team developing deep learning models for antimicrobial resistance (AMR) detection directly from MALDI-TOF mass spectrometry data. The project is funded
-
-based registries or other types of data. Perform statistical analysis using programmes such as Stata or R. Collaborate within two active research groups at NCRR and REACH with national and international