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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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challenges, architecting solutions that bring the power of science to life.
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at least 240 credit points, of which at least 60 credit points should be at second-cycle level. You should be fluent in spoken and written English. English skills and the ability to benefit from
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and oral proficiency in English, the capacity for analytical thinking, the ability to collaborate, as well as creativity, initiative, and independence. The assessment will be based on previous
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leadership roles (personnel and/or projects) in an academic or industrial environment with good references. Proven ability to combine the role of a technical expert with the ability to lead an organization and
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hampers our ability to establish causal relations between molecular alterations and disease phenotypes. In this PhD you will address this by developing a deep learning model of cancer. The PhD position
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We have the power of over 40,000 students and co-workers. Students who provide hope for the future. Co-workers who contribute to Linköping University meeting the challenges of the day. Our
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relatively short reads, making it impossible for reads to span over large and complex SVs. However, recent advancements in long-read sequencing technologies now offer the potential of a cheap and powerful
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omics has made great leaps in terms of multiplexing capabilities and power to decipher spatial patterns of molecules and cells. They provide insight into cell development, micro-environment interactions
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the professional ability to work independently on their specific project over time On a larger scale, Karolinska Institutet is one of the world’s leading medical universities, with the vision to provide better