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, graphical models, and/or Bayesian methodologies for resolving disease heterogeneity, identifying gene-gene networks, or improving integrative genomic prediction models for common complex human diseases, with
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quantum networks. The objective of the PhD studies are to explore and address research and design challenges that include (but are not limited to): Efficient networked classical-quantum systems
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join the Grand Solution project "DRONES: Drone-Obtained Electromagnetic Signatures" to explore innovative approaches such as drone-based radio testing for large objects and EM signiture characterization
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of approximately 150 master’s students and training of a large number of PhD students. The overall objective is to promote and strengthen collaboration between Danish and Chinese learning environments and increase
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decision support tools by integrating health data, domain knowledge, and machine learning. Key objectives include improving diagnosis, monitoring, and treatment through early detection of deterioration