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molecular modeling techniques to study protein-ligand interactions. The Carlsson group uses structure-based methods (e.g., molecular docking and molecular dynamics simulations) to understand protein function
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department with an aim to reveal structures of biomedical datasets using algebra, topology, and geometry,and Assistant professor Nilsson who recently joined from the Massachusetts Institute of Technology (MIT
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School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems
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molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for DDLS aims to recruit and train the next generation of data-driven life
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The research group of Prof. Björn Wallner is looking to recruit a PhD student in Data-Driven Life Science, with a focus on Biomolecular Structures and Dynamics with AI and AlphaFold Your work
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group 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 processes
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processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims
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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 Program for
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program! Project description Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures
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levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data- Driven Life Science (DDLS) aims (https