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, signal processing and image processing in medicine with an extensive level of access to large clinical datasets. Research in the Weil Institute focuses on the development, validation and maintenance
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School of Medicine Indianapolis Position Summary Postdoctoral Researcher to advance research at the intersection of artificial intelligence for healthcare, multimodal data analysis (EHRs, medical imaging
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, spatial data, and perturbation screens with high content molecular and imaging data to understand cellular and multi cellular combinatorial programs in cells and tissues in health and disease. You will join
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internal organs. City of Hope is one of the few institutions in the country that offers clinical trials to treat cutaneous lymphomas. Dr. Querfeld leads a multidisciplinary team of experts, including medical
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, operation of the scanner, data acquisition and analysis, image evaluation, and statistical analysis. The fellow will also be expected to prepare manuscripts and conference abstracts related to projects and
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-disciplinary team of researchers, including bioinformaticians, pathologists, oncologists, and computer scientists, and conduct original research on computational pathology. Digital pathology images contain rich
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involves novel bioinformatics approaches to study disease processes in the skin and to establish the determinants of inter-individual heterogeneity, including cross-species analytics, analyses of lncRNA
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. The insights gained from this well-controlled model will provide a foundation for understanding analogous processes in more complex human cellular systems. The research aims to establish mechanistic
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fields. Strong background in medical image analysis and signal processing. Proficiency in programming, particularly in Python. Demonstrated ability to publish in peer-reviewed journals. Motivated, self
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of nuclear and radiation engineering, including imaging, robotics, high-performance computing, reactor design and materials development. The groups provide a supportive community striving to solve the most