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Development of reproducible software tools and computational workflows for biomedical research Develop novel AI, machine learning, and deep learning methods to address complex biomedical questions in diabetes
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electronic health record (EHR) data; apply ML methods (especially deep learning methods) to solve critical medical problems. Implement methods into software that meets research needs, manage and update source
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Classification Title: OPS Research Assistant/Scientist Classification Minimum Requirements: MSc plus relevant research experience or PhD in immunology, reproductive biology, or a related life
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Microbiology and Cell Science Department has 29 tenured or tenure-track faculty, 7 lecturers, 79 PhD students, 700 MS students, and 1,000 undergraduate students. We pride ourselves in our commitment