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Field
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. The successful candidate will contribute to understanding how modern machine learning models represent information internally and how their predictions can be made transparent, reliable, and clinically meaningful
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highly interdisciplinary, integrating big data analysis, state-of-the-art machine learning models, mathematical modeling, and systems biology to elucidate the mechanisms of drug interactions in complex
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. The successful candidate will contribute to understanding how modern machine learning models represent information internally and how their predictions can be made transparent, reliable, and clinically meaningful
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highly motivated Postdoctoral Researcher in Bioinformatics, Big Data and Translational Medicine to join a multidisciplinary research team. The successful candidate will work on translational research
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understand cancer biology, identify diagnostic and prognostic biomarkers, and improve cancer therapy. Projects will involve the development of AI solutions, particularly by leveraging large language and vision
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disparities across the prevention and survivorship continuum. Our work leverages large-scale cohort studies, registry data, and multi-omics platforms to generate actionable, high-impact insights. The team
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behavioral clinical trials focused on pain, symptom management, and health promotion in patients with cancer and other chronic diseases. Current projects range from pilot studies to large trials, including
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analyses of electronic health record (EHR) data. The postdoc will work with Assistant Professor Zachary Butzin-Dozier (Department of Pediatrics, Division of Clinical Informatics, and Department of Medicine
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, fluorescence lifetime and vibrational imaging methods. Large-scale and high-throughput imaging and analysis pipelines: data acquisition and analysis to characterize cell-types and connectivity in mammalian brain
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integrates neuroimaging, sleep measurement, digital phenotyping, electronic health record (EHR) data, and deep clinical phenotyping to identify predictors of symptom trajectories and functional outcomes in