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, distributed algorithms, secure multiparty computation, and information theory. You are expected to speak and write in English at an academic level, and preferable also in Danish. Qualification requirements
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algorithm development in the biomedical context. We are particularly, but not exclusively, interested in candidates with competence in multi-modal data integration, including electronic health records, omics
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Learning Section . Our Research Our research focuses broadly on theoretical and applied topics within privacy and robustness of machine learning algorithms. Your job The hired candidate is expected to both
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research in innovative algorithms for the analysis and interpretation of medical image data to support computer-aided disease diagnostics and intervention planning. have an established track record
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of the effects of climate change, habitats and recovery, dynamics and distribution of stocks, interactions between species (such as prey and predators), recreational and commercial fisheries, and the integration
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systems. We develop design technologies and computing platforms for distributed and embedded systems, with applications in IoT, Edge AI, safety-critical systems, and quantum computing. We are seeking new
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enable the development of fault-tolerant quantum computing hardware and quantum algorithms that solve life-science-relevant chemical and biological problems. Within NQCP we are currently pursuing several
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the Department of Immunology and Microbiology, Faculty of Health and Medical Sciences. This role involves developing and applying advanced bioinformatics algorithms to investigate the functional diversity
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with special emphasis on impacts of climate and environmental factors on fish early life history, growth, reproduction, survival and distribution including invasive species. You will closely work with
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solvers and optimization algorithms for 1 year and 4 months. The Section of Solid Mechanics conducts research and teaching in the fields of structural and materials mechanics, vibration and their active