Sort by
Refine Your Search
-
Employer
- Aarhus University
- Aalborg University
- University of Copenhagen
- Copenhagen Business School
- University of Southern Denmark (SDU)
- Aalborg Universitet
- Aarhus University (AU)
- Aarhus University;
- European Magnetism Association EMA
- Faculty of Medicine, Aalborg University
- Technical University Of Denmark
- University of Copenhagen;
- University of Southern Denmark
- 3 more »
- « less
-
Field
-
are: Glacial Microbiology Microbiology in air, soil, ice, and rhizosphere Microbial and microeukaryotic genetics and diversity eDNA analysis and use in environmental monitoring Microbial and protist ecology
-
of crime • Illicit online markets The research projects may address national or international challenges and should employ appropriate qualitative and/or quantitative methods. The project should demonstrate
-
on the development and application of computational tools in the project. This includes, first and foremost, computational text analysis to detect shaming and shamelessness in parliamentary debates, party manifestos
-
carcasses for analysis. Your task will be to explore what we can learn from the beached bird data. Topics include the distribution of mortality in time and space, and among species; causes of death, as
-
contribute to the teaching. English is the preferred language in the laboratory, at meetings and at seminars. The department employs approx. 500 people from all over the world, and they make use
-
relevant to the subject area: • Victimization and offending • Hybridization of crime • Illicit online markets The research projects may address national or international challenges and should employ
-
10 Jul 2026 Job Information Organisation/Company University of Southern Denmark Department Faculty of Engineering Research Field Engineering Researcher Profile First Stage Researcher (R1) Positions
-
to recruit a talented researcher for a 2-year, full-time postdoc in machine learning from 1 October or soon thereafter. Your work tasks We are looking to recruit an excellent postdoctoral fellow to apply
-
crystallographic and scattering data analysis, including handling large datasets. Solid understanding of crystallography, powder X ray diffraction, diffuse scattering, phase transitions, and background modeling
-
electromagnetic simulation tools, such as CST Studio Suite or Ansys HFSS, and you use them systematically as part of your design workflow. You also have practical skills in numerical modelling and data analysis