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Health Sciences PhD Program), and community engagement activities, we promote patient-centered health care and the delivery of evidence-based health innovations that improve population health and reduce
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and patient preference assessment, survey research and measure development, data science, mixed methods, genomics, addiction medicine, neuroepidemiology, and infectious diseases. Minimum Qualifications
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trainees in imaging science and computational methods. This new faculty will be expected to develop his/her research program, to integrate and broaden the current research programs in the Department, and to
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Help with the validation of candidate variants and genes in mouse models Analyze data using relevant software and present findings in internal and external meetings Contribute to scientific publications
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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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, IF. Working with light microscope and imaging tissues using confocal microscope. Analyzing images using software (ImageJ) and generating quantifiable results using statistical methods. Reviewing literature
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on an individualized-level and development of methods to handle high intra-disease and inter-subject heterogeneity. The successful applicant will carry out a wide range of duties including developing, optimizing and
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QUALIFICATIONS Applicants should have a PhD in Computer Science, or a closely related field and must have research experience in medical image analysis, including the analysis of pathology images using AI and
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, literature searches, medical record reviews and related non-lab methods for use in studies, publications and other research related uses. Huntsman Cancer Institute is committed to cancer prevention, care, and
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, literature searches, medical record reviews and related non-lab methods for use in studies, publications and other research related uses. Responsibilities Collects and compiles data from a variety of sources