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develop state of the art methods for studying binding and dynamical structure of DNA, RNA and proteins. Scientific questions in projects can involve, for example, studying specificity in transcription
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most advanced technology, we also develop novel technologies and transform the data they generate into knowledge. About the department/group In this role, you belong to the department that works with
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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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with various disease states. There is also strong research in method and technology development, including the design and synthesis of small organic molecules and biological macromolecules. Development
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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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evolution and biodiversity The project aims to understand how codon usage has evolved in organisms, to uncover why and where conservation of codons is central to organismal fitness, and how the three
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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 globally leading computational and data
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dynamic and international research environment, where interdisciplinary researchers work together closely to push the boundaries of RNA biology. Our team has expertise in wet-lab methods development – as
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processes to human health 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
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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