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involves analyzing data obtained by cosmological surveys such as DESI, Euclid, Roman and others, developing new methods and algorithms, supporting other group members in particular graduate students, and
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of the burgeoning reliance on AI in the public and/or private sectors; the social and political consequences of reliance on algorithmic approaches to public policy implementation; methodological development
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; proficiency in graph data structures and algorithms for geometric analysis; advanced knowledge of surface representation math; experience in writing geometry translators for complex surface features; excellent
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, sensor networks, robotics, and machine learning applied to the integration of computational algorithms and physical processes; Foundational aspects and methods in Machine Learning; Applications of machine
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algorithms, computational methods, and systems-biology approaches, addressing vital challenges in biomedicine. BMI has a strong diversity, equity, and inclusive culture for faculty who develop careers in