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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
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on “ Integrating AI into Aquatic Ecosystem Models to Decode Ecological Complexity ” funded by Villum Fonden. Within that project, the focus is on exploring novel ways to infer information from environmental data
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from various research disciplines together to address pathogen problems in simple and complex microbial communities. With assistance from other group members, you will analyse the output, draw
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simultaneous participants Developing analysis pipelines combining multimodal data streams Performing complex analyses of multimodal data Communicating findings to internal and external collaborators Publishing
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biochemistry of Asgard archaea and their role in the emergence of complex life. This ERC-funded position offers the opportunity to pursue cutting-edge research in a collaborative international environment. The
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, the developed models will be deployed in realistic scenarios, including turbulent flows over complex terrain, within built environments, and in wind farms. The project integrates fundamental applied mathematics
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an autonomous framework for setting up, executing, and optimizing complex electronic structure workflows, ranging from ground-state Density Functional Theory (DFT) to many-body perturbation theory methods such as
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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