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an inclusive and collaborative academic environment with a commitment to diversity, equity, and inclusion among the faculty, students, and staff. Promote teamwork and collaboration both within the department and
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study of personalized breast cancer screening. Candidates will be expected to leverage machine learning to integrate environmental exposure information into breast cancer models that can predict risk for
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for a uniquely exciting and supportive environment for investigators of all levels. Primary criteria for appointment at the GIND will be outstanding records of innovative research, academic performance
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