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Yogesh Kalakoti is a researcher associated with Linköping University. His work focuses on structural biology, specifically in predicting structural variations and the behaviors of protein conformations. He has co-authored significant publications that discuss advancements in predicting multiple conformations using computational methods like AlphaFold2, which has the potential to impact future biological research considerably. With a strong background in applying machine learning techniques to biological data, Kalakoti continues to contribute to the field through innovative research methodologies and collaborative projects.
Requirements are standardized across the Faculty of Science and Engineering (Institute of Technology) for international Master's programs.