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analysis and biomedical data analysis, with demonstrated experience in organ segmentation from medical images, using both traditional and machine learning–based methods, and creation of large segmentation
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tasks include planning, conducting, and publishing epidemiological studies using large-scale observational data, primarily register-based, focusing on women’s short- and long-term health outcomes within
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together a large network of European stakeholders across universities, industry, training providers, and policy organisations, with the goal of strengthening Europe’s quantum talent pipeline and accelerating
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Determine T cell phenotype and transcriptomic characteristics Integrate T cell data with other adaptive immune parameters. Making high quality peptide-MHC reagents to explore T cell recognition How can we
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” funded by Independent Research Fund Denmark and led by Associate Professor Christoffer Basse Eriksen. The project aims to carry out the first large-scale study of the making of the Flora Danica (1761–1883
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include psychiatric disorders as well as clinical and social outcomes, but specific tasks may depend on applicants. The positions will generally involve various data analyses using Danish register data and