Sort by
Refine Your Search
-
Category
-
Employer
- Aalborg University
- University of Copenhagen
- Aarhus University
- Aalborg Universitet
- Technical University Of Denmark
- Copenhagen Business School
- Geological Survey of Denmark and Greenland (GEUS)
- Technical University of Denmark
- Graduate School of Arts, Aarhus University
- Technical University of Denmark (DTU)
- Technical University of Denmark;
- University of Southern Denmark
- University of Southern Denmark (SDU)
- University of Southern Denmark;
- 4 more »
- « less
-
Field
-
Very good knowledge of English (written and oral) Good communication skills (scientific community, the public, stakeholders, and managers) Experience in data analysis and statistical tools Preferable
-
dissemination is expected to focus on leading Human-Computer Interaction venues. For further information about the project, see: https://dff.dk/en/our-funded-projects/meet-the-researchers/research-leaders
-
building, task reallocation, skill demand, and productivity outcomes in China and Denmark. The expected design combines quantitative analysis (firm-level data, job postings, occupational task data, and
-
in harbor, coastal or offshore test environments. The candidate will contribute to test planning, sensor calibration, data collection, control tuning and post-processing of field data. Performance
-
-CARE, this might include: - Collecting, coding and analysing qualitative and geo-coded data from digital photovoice walks with community members, and supporting stakeholder and socio-spatial mapping in
-
26 Jul 2026 Job Information Organisation/Company Aalborg Universitet Department The Faculty of Engineering and Science, Department of Energy, Esbjerg Energy Section Research Field Engineering
-
levels. A central component of your work will be the collection and analysis of qualitative empirical data. The empirical work will be based on in-depth case studies of firms operating within the Danish
-
on ocean and coastal dynamics, marine processes, and their response to environmental change through a combination of field observations, data analysis, and numerical modelling. The position is embedded
-
molecular, cellular and genomic techniques. Working with mammalian cell culture, genome engineering and embryology. Analysing and interpreting experimental data. Collaborating with researchers across
-
are very welcome to contact the person listed at the bottom of the job posting, who can provide further information about the project, the research environment and the recruitment process. Further