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to operate in harsh environments, for space applications. This project leverages state-of-the-art neuromorphic sensing and brain-inspired computing to enable a new generation of intelligent vision systems
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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
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working on bridging this gap by investigating the biochemical properties of Asgard archaea proteins crucial to the understanding of their ecology and evolution. You will perform: heterologous expression in
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models of complex physical systems starting from data, ranging from robotic systems to traffic and turbulent flows. We are implementing these methods in high-performance open-source libraries to make them
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that facilitate the understanding of spatial profiling in clinical samples. You will work with datasets from our Xenium High-plex Single-cell Spatial Profiling (HSSP) from 10x Genomics and GeoMx Digital Spatial
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and around 825 students are enrolled in our study programs. Furthermore, we also offer an ambitious PhD program. Our PhD students have high academic ambitions and deliver high-quality results for both
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research. Experience with high-performance computing (HPC) environments. A strong publication record relative to career stage. Ability to organize tasks and work in an interdisciplinary team. Further
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of Copenhagen (ku.dk) Our research We are a team of highly skilled researchers collaborating with international partners from industry and other universities to perform exciting interdisciplinary science using
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with High-Dimensional Covariates, funded by an Independent Research Fund Denmark grant. The project is led by Associate Professor Jesper Riis-Vestergaard Sørensen (UCPH) with Professor Denis Chetverikov