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in settings with students and patients from all backgrounds and possess a strong commitment to improving access to higher education and quality healthcare for historically underrepresented students and
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will develop andapply cutting-edge methods in predictive and causal modeling for age-related maculardegeneration ( AMD ), a primary cause of irreversible vision loss worldwide. This work willinvolve the
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to data-driven research projects focused on glaucoma, diabetes or nAMD using large-scale clinical and imaging datasets. Develop, validate, and implement machine learning models and statistical tools
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Technology in Training, Education, and Consultation (U-TTEC) Lab (https://www.u-tteclab.com ) in the Department of Educational Psychology to provide direct mental health and behavioral services in
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on scientific problems, whether biomedical or other, and to applicants with a strong record of scientific productivity. The successful applicant must have a Ph.D. in Computer Science, Data Science, Statistics
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on scientific problems, whether biomedical or other, and to applicants with a strong record of scientific productivity. The successful applicant must have a Ph.D. in Computer Science, Data Science, Statistics
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possess a strong commitment to improving access to higher education and quality healthcare for historically underrepresented students and patients. All qualified individuals are strongly encouraged to apply
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are designed to prepare individuals for a research-focused career in academia or industry. The candidate will work with Dr. Kota Takahashi to conduct collaborative and interdisciplinary projects that bridge