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Field
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analysis. Applies foundational knowledge of biostatistics and AI principles to inform study design and algorithm development. Tests, debugs, and validates models in partnership with technical and clinical
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statistics, biostatistics, computer science, computational biology, or a closely related field and have demonstrated interest and expertise in causal inference and clinical trial design. Required
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, under the mentorship of Dr. Dajiang Liu (https://dajiangliu.blog ), is expected to work on at least one of these objectives. Requirements: A Ph.D. in statistics/biostatistics, computer science
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, Biostatistics, Health Economics, Health Informatics, Cancer Research, Data Science, or a closely related discipline. Minimum of three years of research experience (including graduate studies) in health services
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networks. Develop and maintain expertise in HIV science, infectious diseases, epidemiology, implementation science, clinical research methods, biostatistics, and related disciplinary areas relevant
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publications, as well as preparation of graphical displays of results and manuscripts for publication. Basic Qualifications • Ph.D. in areas such as health services research, economics, statistics, biostatistics
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motivated individual with experience in deep learning and a PhD in computer science, electrical engineering, biomedical engineering, biomedical informatics, biostatistics or a related discipline. Required
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of HIV, substance use, and aging. Applicants should have a PhD or equivalent degree in epidemiology, health sciences, biostatistics, or related quantitative health field. Research experience in HIV
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Health | Division of Biostatistics The postdoctoral fellow will contribute to the HELM initiative at OSU, an interdisciplinary project that delves deep into the intersections of health, environment, and
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protocols and data acquisitions Mentoring students and promoting collaborations Specific criteria include: Recent PhD (0 - 3 years) in a relevant health economics/services research, biostatistics