Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Technical University of Denmark
- Aarhus University
- Nature Careers
- University of Southern Denmark
- Aalborg University
- University of Copenhagen
- Aalborg Universitet
- Copenhagen Business School
- Aarhus University;
- Technical University Of Denmark
- Graduate School of Arts, Aarhus University
- University of Southern Denmark;
- ;
- Danmarks Tekniske Universitet
- Technical University of Denmark;
- COPENHAGEN BUSINESS SCHOOL
- European Magnetism Association EMA
- Geological Survey of Denmark and Greenland (GEUS)
- NVIDIA Denmark
- 9 more »
- « less
-
Field
- Computer Science
- Engineering
- Biology
- Medical Sciences
- Economics
- Chemistry
- Mathematics
- Science
- Social Sciences
- Environment
- Materials Science
- Business
- Humanities
- Psychology
- Electrical Engineering
- Arts and Literature
- Linguistics
- Earth Sciences
- Education
- Philosophy
- Physics
- Sports and Recreation
- Statistics
- 13 more »
- « less
-
nanosatellite/CubeSat constellations and to develop innovative GNSS-based sensing methods and AI models to detect a variety of Earth surface processes. This PhD position focuses on developing analytical models
-
Discovery Innovation Network foundation, NNF grant number: NNF23SA0088590. The position focuses on experimental development at the interface of microfluidic organ-on-chip systems and metabolic magnetic
-
) is supported. Please refer to http://mbg.au.dk/ for further information about The Department of Molecular Biology and Genetics and to https://nat.au.dk/ and http://www.au.dk/ for information
-
Nordic collaborative project addressing the full climate impact of afforestation beyond carbon sequestration alone. The postdoctoral researchers will be key contributors to the development of guidelines
-
specimens is particularly strong on Danish and arctic (Greenland) material but also contains material from all over the world. To read more about the botanical collections, see here: https
-
derived from both our in vivo and in vitro model systems. We promote an inclusive and collaborative research environment, and you will be expected to actively contribute to method development and to
-
Rasmus Hartmann-Petersen (University of Copenhagen). For some background on our work on disordered proteins, see for example two recent reviews (https://doi.org/10.1016/j.sbi.2025.103028 & https://doi.org
-
possible thereafter. Our research At TreeSense, we use remote sensing and machine learning to develop new means to characterize and quantify global woody vegetation dynamics, both inside and outside
-
Andres Masegosa (arma@cs.aau.dk), Department of Computer Science. (please see: https://andresmasegosa.github.io/ . The project’s domain PI is Professor Jamal Jokar Arsanjani (jja@plan.aau.dk), Department
-
should demonstrate research on emerging technologies for collaborative learning, including areas such as video-based competence development, digital mediation of learning processes, and the use of new