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aims to build predictive and physical binding models of protein – DNA interactions using high-throughput and quantitative biochemical binding data across hundreds of thousands of sequence variants
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Uppsala University, Disciplinary Domain of Science and Technology, Faculty of Chemistry, Department of Chemistry – BMC The Department of Chemistry – BMC conducts research and education in analytical
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gene expression profiles and cellular heterogeneity within tissues can predict how existing drugs might act on previously uncharacterized disease mechanisms or cellular subtypes. These models will be
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will use machine learning methods to develop affinity ligands. These methods have been transformative for protein design, allowing generation of novel proteins which can suit a precise need. In this 4
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for Oncology, Clinical Genetics, Clinical Immunology, Clinical Pathology, and Hospital Physics at Akademiska sjukhuset, Uppsala. The department has teaching assignments in several education programmes, including
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for Oncology, Clinical Genetics, Clinical Immunology, Clinical Pathology, and Hospital Physics at Akademiska sjukhuset, Uppsala. The department has teaching assignments in several education programmes, including
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project under supervision of experienced researchers and following an individual study plan. For a doctoral degree, the equivalent of four years of full-time doctoral education is required. The research
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an individual study plan. For a doctoral degree, the equivalent of four years of full-time doctoral education is required. The Department of Microbiology, Tumor and Cell Biology (MTC) at Karolinska Institutet
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below), or – have completed at least 240 credits in higher education, with at least 60 credits at Master’s level including an independent project worth at least 15 credits, or – have acquired
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an individual study plan. For a doctoral degree, the equivalent of four years of full-time doctoral education is required. The research group The position is based in Joakim Dahlin’s team at Karolinska Institutet