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Lena Manzhynski's research focuses on polymeric per- and polyfluoroalkyl substances (PFAS) and their potential risks as emerging chemicals. Her work involves developing tools to characterize and identify these compounds, addressing their environmental fate and persistence through a combination of experimental techniques and computational methods. By utilizing artificial intelligence, particularly natural language processing and machine learning-based modeling, she aims to assess the risks posed by polymeric PFAS. Her interdisciplinary approach integrates both experimental and theoretical frameworks to contribute significant insights into the risks associated with these widely recognized hazardous substances.
Requirements are standard for Master's programs across Social Sciences and Humanities at Umeå. English 6 proficiency is the general rule.