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background in biology, programming or mathematics is meritorious. Knowledge in medical image processing, image registration, and large-scale analyses of genetic (including Mendelian randomization), protein, or
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data analysis, quantitative medical image analysis, or application of data-driven methods for clinical application purposes in general and vascular applications in particular is advantageous, but not
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and Health Sciences. Our aim is to engage in medical and biomedical education and research of high international standing. At undergraduate level the department is responsible for most of the medical
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idea at the department is to stimulate translational research and thereby closer interactions between medical research and health care. Research is presently conducted in the following areas: medical and
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endocrinologist and an international expert in CAH. The research group further consists of two post-doctoral researchers, of which one expert in brain imaging, three other PhD students, psychologists and pediatric
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, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab
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on biological processes as well as the impact of biological processes on materials. Our ambition is to foster a dynamic teaching and research environment that is internationally recognized for its excellence in
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support. This research project focuses on the functional structure of X-ray detectors based on organic frameworks with heavy atoms, with applications in diagnostics, including medical imaging. The fine
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methods to unravel the gene regulatory mechanisms underlying fundamental biological processes. We aim to understand how these processes are disrupted in various diseases. Our extensive collaborations with
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techniques including single cell multiomics, human sample analysis, mouse models of allergic diseases, imaging and advanced flow cytometry. Specifically, the student will characterise memory ILC2 skin niches