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. The project revolves around developing Traident – a new method to resolve the species origins and compositions of complex RNA sequence data. This will extend Kraken2 with analyses of ribosomal RNA and microRNA
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to participate in relevant research projects and prepare for an international research career. Read more about the research at The Department of Chemistry – BMC at our website. Project description We are looking
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to participate in relevant research projects and prepare for an international research career. Read more about the research at The Department of Chemistry – BMC at our website . Project description This project
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are always looking for curious minds that see themselves imagining the unimaginable with us. United As One for Patients, our purpose in Healthcare is to help create, improve and prolong lives. We develop
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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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Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life scientists and to create globally leading computational and data science capabilities in Sweden
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spectrum, in topics in virology and immunology, and currently specializes in computational biology focusing on developing methods and applications of deep learning for protein sequence and structure, as
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and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life scientists and to create