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Mariam Khayretdinova is a researcher in the Department of Applied Mathematics and Theoretical Physics at the University of Cambridge. Her work primarily revolves around the application of advanced mathematical techniques and neural networks to analyze complex data sets. She has contributed significantly to the field of Neuroinformatics, with particular emphasis on understanding placebo responses through deep learning methodologies. Mariam's research encompasses various aspects of numerical analysis and its applications in the evaluation of clinical data. She collaborates with a diverse range of experts to push the boundaries of applied mathematics and its relevance in medical science. Her dedication to rigorous research and her ability to synthesize information from multiple disciplines underscores her role as an emerging scholar in her field.
Standard postgraduate requirements for Department of Politics and International Studies (POLIS) and related humanities departments.