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previous work with supporting publications is a necessary: Development of DNA-based molecular robotic machines to carry out specific tasks with regulated functionality for various biological applications
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School. DDLS uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and
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of the tumor microenvironment. Research funding has been secured through a prestigious grant from SciLifeLab, a Swedish national center for advanced research and one of Europe’s leading molecular biology
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of the workplace The Genetic and Molecular Epidemiology Unit at the Department of Clinical Sciences conducts research primarily on data-driven solutions in precision medicine, with focus on precision prediction
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will combine state-of-the-art computer vision, modeling and archived specimens to determine biotic and abiotic factors driving spatial variation in molt phenology. It will use museum genomics to recover
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the carbon flux in Chlorophyta to elucidate the metabolic pathway from CO2 to the cell wall and use molecular biological tools to generate algal strains with improved cell wall properties. This project offers