Sort by
Refine Your Search
-
Listed
-
Employer
- Aarhus University
- Technical University of Denmark
- Nature Careers
- University of Southern Denmark
- Aalborg University
- University of Copenhagen
- Aalborg Universitet
- Aarhus University;
- Copenhagen Business School
- Geological Survey of Denmark and Greenland (GEUS)
- University of Southern Denmark;
- 1 more »
- « less
-
Field
-
scientific journals Research experience in some of the areas of fungal transformation, CRISP/Cas9 modification of fungal genes, analysis of metabarcoding data, and soil microbiology. Additional qualifications
-
-of-the-art methodology in endogenous protein editing and tagging by CRISPR and integrase strategies. Training in state-of-the-art technologies and data analysis as well as research management, oral and written
-
. The research project consists of studies that will be based on data from the Danish National Birth Cohort and the National Child Health Register. Your job responsibilities As Postdoc in Epidemiology your
-
how geometry- and data-driven digital twins of wireless environments can support learning, inference, and coordination in physical AI systems such as robots, vehicles, or distributed sensing platforms
-
sections with around 350 highly skilled employees, of which approximately 50% are scientific staff. More information can be found here . We believe in encouraging inclusion, acceptance, and understanding by
-
researcher network. The department consists of nine research sections with around 350 highly skilled employees, of which approximately 50% are scientific staff. More information can be found here . We believe
-
sections with around 350 highly skilled employees, of which approximately 50% are scientific staff. More information can be found here . We believe in encouraging inclusion, acceptance, and understanding by
-
, photonics, and neuromorphic computing, and plays a central role in SDU’s ambition to be a national and European hub for semiconductor and chip innovation. Further information For further information about the
-
for space applications. The project aims to drastically reduce power consumption and data bandwidth while increasing processing speed and dynamic range compared to conventional image sensors. The technology
-
barriers and facilitators of prevention programs. The ideal candidate has a background in or experience with one or more of the following topics and areas: Survey methodology / Survey data analysis