Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Denmark
- Nature Careers
- Aarhus University
- University of Southern Denmark
- Aalborg University
- University of Copenhagen
- Copenhagen Business School , CBS
- Aalborg Universitet
- ;
- Aarhus University;
- Copenhagen Business School
- Technical University Of Denmark
- University of Exeter
- 3 more »
- « less
-
Field
-
to software engineering, robotics, and artificial intelligence. The Software Engineering section encompasses a range of research areas in software development, data analytics, and intelligent systems, and it
-
printed hydrogel microfluidics and stem cell-derived liver organoids to advance the engineering of mature human liver tissue in vitro. You will work across disciplines, with access to world-class facilities
-
for two educations: Molecular Biology and Molecular Medicine with a yearly uptake of 160 students in total. Please refer to http://mbg.au.dk/ for further information about The Department of Molecular
-
team. We seek a Postdoctoral Fellow with expertise in geochemistry or mineralogy or materials science or other, who has experience in X-ray diffraction analysis (for example, with Rietveld refinement
-
: bjelt@dtu.dk . You can read more about Department of Civil and Mechanical Engineering at https://construct.dtu.dk . If you are applying from abroad, you may find useful information on working in Denmark
-
candidate is expected to contribute to the overall objectives of the project by being involved in the project management, data collection, and data analysis. The candidate is also expected to contribute
-
to hydrography, sea ice, and water chemistry, using both in situ and remote sensing data We are seeking candidates with a background in marine science, oceanography, earth system science, or a related field. The
-
bioinformatic analysis of NGS data. Hands-on experience in generating high-quality ChIP-seq data. Hands-on experience in culturing mammalian cells. Experience in molecular biology techniques, including use
-
. The positions offer a unique opportunity to contribute to fundamental advances in solid-state physics, while applying luminescence-based techniques to pressing questions in Earth system science. The positions
-
(e.g., based on physiological signals or direct inputs from occupants) and developing algorithms, including machine learning methods. The work will include statistical modelling, data-driven modelling