51 developer-"https:"-"https:"-"https:"-"European-Commission" Postdoctoral positions at Aarhus University in Denmark
Sort by
Refine Your Search
-
play a central role in developing, evaluating, and interpreting deep learning models for multi-sensor satellite data, addressing challenges such as spatiotemporal learning, super-resolution, and model
-
the department have established companies to develop new medicinal treatments founded in professional scientific basic research. You can read more about the department here and about the faculty here . About the
-
families. Specifically, we offer: Access to state-of-the-art facilities and computing infrastructure; Strong support for research career development, including mentoring and international networking
-
supervision experience at the BSc and MSc level Interest and experience in developing competitive national and international research applications Experience in planning and conducting molecular laboratory work
-
neuromuscular research and molecular muscle biology your position is primarily research-based but may also involve teaching assignments. You will contribute to the development of the department through research
-
/or large genetic datasets. This may include genetic analyses, causal inference, epidemiological analyses, and clinical prediction modelling using machine learning approaches, and development
-
-year extension. The project is fully funded by the Independent Research Fund Denmark (DFF). The main objective of this project is to develop physics-constrained, data-driven turbulence models
-
. Specifically, the postdoc will develop and test up-scaled microbial electrosynthesis reactors involving advanced electrochemistry, reactor design, and scaling approaches. Expected start date and duration of
-
will be in developing new techniques for testing and verifying modern highly concurrent systems, such as weak-memory architectures and highly-distributed databases. The position is also open, to some
-
be developed and implemented in the GEOS-Chem chemical transport model, coupled to the Community Earth System Model. Standardized large wildfire events will be simulated based on historical data and