32 data-"https:"-"https:"-"https:"-"https:"-"Linköping-University"-"IFM" Fellowship positions at Nature Careers
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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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Job Description SJCRH Position Overview: The Department of Information Services is seeking a highly skilled and motivated faculty- level Clinical Informatics Researcher to join our dynamic clinical
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expression, age, disability, genetic information, citizenship status, or veteran status. To learn more about our commitment to diversity and inclusion, please visit: https://jobs.utsouthwestern.edu/why-work
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SJCRH Position Overview: The Department of Information Services is seeking a highly skilled and motivated faculty- level Clinical Informatics Researcher to join our dynamic clinical informatics and
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study development, execution, and dissemination. This role offers hands-on exposure to study design, regulatory processes, patient-facing research activities, data analysis, and scientific publication
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. The Fellow will work in close partnership with the lab's experimental team to build and apply analytical frameworks that translate these data into mechanistic insight and therapeutic hypotheses. As part of
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the level of individual cells. Yet much of the biological information embedded in these data remains unexplored. The next step is to convert these time-lapse images into accurate single-cell trajectories and
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products. CDRH provides consumers, patients, caregivers, and providers with understandable and accessible science-based information about products. CDRH facilitates medical device innovation by advancing
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-derived organoids and assembloids, engineered ECM environments, and in vivo mouse models, working in close partnership with the lab's computational team to generate data-rich spatial multi-omics datasets
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curiosity and a desire for real-world impact. Mayo Clinic has digitized over 15 million gigapixel digital pathology slides, representing an incredible diversity of complex diseases of all types. This data is