14 complex-systems-physics-"https:"-"Simons-Foundation" Postdoctoral research jobs in Denmark
Sort by
Refine Your Search
-
cutting-edge solutions that enable researchers to explore complex biological systems at unprecedented resolutions while maintaining the spatial context. DanSIC is also part of CellX – The Danish Single Cell
-
employment is 2 years. You can read more about career paths at DTU here . Further information Further information may be obtained from Andrey Rivkin, DTU Compute, https://orbit.dtu.dk/en/persons/andrey-rivkin
-
to transform the entire structure and functioning of Arctic coastal marine ecosystems. CIFAR is a research center that aims to unravel how the complex interplay between ice melt, runoff and ice formation across
-
in basic research and centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and implementation of complex systems. We focus on ensuring that our
-
centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and implementation of complex systems. We focus on ensuring that our research results contribute
-
to transform the entire structure and functioning of Arctic coastal marine ecosystems. CIFAR is a research center that aims to unravel how the complex interplay between ice melt, runoff and ice formation across
-
interdisciplinary environment of the Danish Polymer Centre. Elastomers’ complex mechanical behavior under varying conditions makes accurate prediction challenging. In this project, you will design and implement
-
to support decision-making by integrating physical models and sensor data. These methods are validated through industrial case studies, with a particular emphasis on critical infrastructures where complexity
-
that pose serious ecological and health risks. Their low concentration and complex behavior make experimental analyses challenging. Developing reliable predictive models is essential to reduce the reliance
-
languages such as Python or R. Experience with machine learning, systems biology, or network modeling approaches. Previous expertise in human cardiometabolic or complex diseases, with domain expertise in but