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Oleksandr Cherednichenko is a doctoral student at Umeå University, where he specializes in creating deep reinforcement learning frameworks aimed at understanding how microbes distinguish between friends and foes. He graduated from the Moscow Institute of Physics and Technology (MIPT) with a Master's degree, focusing on the application of deep learning in structural bioinformatics. His doctoral program is funded by SciLifeLab as part of the data-driven life science research school. In his free time, Oleksandr enjoys playing chess and reading, as well as experiencing the tranquility and beauty of nature.
Requirements are standard for Master's programs across Social Sciences and Humanities at Umeå. English 6 proficiency is the general rule.