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, statistics, data science, and public health. The goal is to develop new methods that allow researchers to learn from sensitive health data without compromising individual privacy. Using unique, nationwide
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supervise university students. The department has an international staff of approximately 40 researchers, PhD students and postdoctoral fellows. We have a great focus on multi-disciplinary collaboration
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an international staff of approximately 30 researchers, PhD students and postdoctoral fellows. We have a great focus on multi-disciplinary collaboration across the department and conduct department seminars and
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interaction among academic staff, postdoctoral researchers, PhD fellows, and students. We share an ambition to contribute to the green transition through research with practical relevance. At Campus Esbjerg
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, mathematics, biology, and epidemiology, developing and applying novel statistical methods and deep learning approaches for global health challenges. The group’s research spans disease modelling, genomic
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to participate in international research conferences and to spend time at another research institution as a visiting PhD student. See the CBS homepage for more information about the PhD programme, https
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international research conferences and to spend time at another research institution as a visiting PhD student. See the CBS homepage for more information about the PhD programme, https://www.cbs.dk/en/research
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ICT, Learning and Organizational Change or the continuing education programme in IT and Learning. Information about the academic content of the programmes is available here: https://www.aau.dk
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statistical models to understand the ecological and phylogenetic factors playing a role in the evolution of the host-microbiome systems. The project will use the vast number of paired host and microbiome
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Science, and other research sections at the department are Algorithms Computational Science Data Science and Statistics Geometry, Topology and Algebra Learning Experience Design Our department offers