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nature, and the ideal candidates are comfortable with moving outside their field to understand both molecular biology and computational methods. We rely heavily on collaborations with clinicians, which
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projects are multidisciplinary in nature, and the ideal candidates are comfortable with moving outside their field to understand both molecular biology and computational methods. We rely heavily
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experimental and computational research methods for systems-level analyses of the human immune system. The aim of the team is to understand immune systems’ variation in health and disease and the regulatory
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in R is a strong plus. You must be able to understand written medical Swedish to some extent, but you need not be able to communicate fluently. Basic knowledge of cancer biology is required. Emphasis
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bioinformatics and epidemiology. Experience in multiomics data analysis, systems biology, register-based studies using advanced computational techniques (e.g., disease pathway or human disease network analyses
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mechanisms in the mouse brain by developing new technologies. The group is building a new interdisciplinary research program as there is an immense potential for new fundamental insights to be discovered
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Do you want to contribute to top quality medical research? The Strategic Research Programme in Diabetes (SRP Diabetes) at Karolinska Institutet is funding a prestigious fellowship programme for