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National Program for Data Driven Life Science (DDLS). About the DDLS Fellows program Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems
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, or public health data from pathogen surveillance efforts and biobanks. Project description DDLS Fellows program Data-driven life science (DDLS) uses data, computational methods, and artificial intelligence
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delimitation in biodiversity conservation using modern artificial intelligence (AI) methodologies. Based on morphological traits, traditional species delimitation methods struggle with groups like bacteria and
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the Data-Driven Life Sciences initiative – one of Sweden’s largest and most ambitious research initiatives, focusing on using data, computational methods, and artificial intelligence to study biological
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life science (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
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artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National
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, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab
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) program. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular
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and advanced time-resolved X-ray crystallography/ electron microscopy (cryo EM) on artificially activated hydrogenases to follow catalysis in the form of real time molecular movies. Solving protein
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, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab