26 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"BioData" Fellowship positions at Nature Careers in United States
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Company Information: A full-time postdoctoral fellow position is available in Professor Wenyi Wang's lab at the Department of Bioinformatics and Computational Biology, the University of Texas MD
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informatics methodologies to analyze complex datasets and generate actionable insights and potential optimization/quality improvement projects Prepare reports, manuscripts, and presentations for internal
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informatics methodologies to analyze complex datasets and generate actionable insights and potential optimization/quality improvement projects Prepare reports, manuscripts, and presentations for internal
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fellow to join our translational research program in macrophage biology/immunology. Our team takes a systems approach—integrating multi-omics, network science, machine learning, and comprehensive in vitro
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interests in applied statistics, machine learning, or computational biology are encouraged to apply. For more information, please visit our website https://ds.dfci.harvard.edu/postdocs to view the list
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neuroscience, or computational neuroscience. The postdocs would be part of a multidisciplinary neural engineering and behavioral neuroscience team to study neural mechanisms of drug self-administration and
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collaborative research environment that brings together computational scientists, clinicians, and biomedical researchers to address pressing challenges in precision medicine and biomedical data science. QBRC is a
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. This position is ideal for individuals pursuing careers in cardiology, internal medicine, or academic medicine. Primary Responsibilities: • Study Development & Scientific Leadership o Contribute
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. This unique program brings together expertise in cancer care delivery research (Dana-Farber’s Center for Outcomes and Policy Research), along other Population Sciences pillars (DFCI’s cancer genetics, health
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: The Artificial Intelligence Regulatory Science Program conducts regulatory science research ensuring safe and effective AI/ML-enabled medical devices across rapidly expanding healthcare applications including