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Analysis About the Mentor: Dr. Shao obtained his PhD degree in Electrical and Computer Engineering from the University of Iowa in 2019, under the supervision of Dr. Gary E. Christensen (IEEE Fellow, AIMBE
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. Mingjie Liu, focusing on the development and implementation in advanced machine learning and deep learning models to predict new materials and molecule properties. This one-year appointment is renewable
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://biostat.ufl.edu/ ) is accepting applications for a fully-funded postdoctoral associate position. This position, available immediately, focuses on developing statistical, machine learning and deep learning methods
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, and multi-omics data analysis. They also develop novel diagnostic and clinical applications in the field of comparative oncology deploying AI and machine learning. The best-qualified candidate will have
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group as well. The group's research interests include axion and dark matter phenomenology, gravitational wave phenomenology, BSM model building, applications of machine learning to particle physics, and
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graphical models, causal inference and machine learning. Dr. Liu's research interests lie in modeling the rapidly-accumulating big data (e.g., muti-omics) in biology and medicine for precision medicine via a
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incorporated into all areas of supervision, training seminars, evaluations, and professional activities. The training program is also committed to cultivating an atmosphere that is conducive to learning by
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implement studies using RWD (2) Extract and process RWD data for analysis (3) Develop and apply novel data science methods including statistical and machine /deep learning methods (4) Develop and apply novel