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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 24 hours ago
language processing, computer vision, medical image analysis, or a related area. Required Qualifications, Competencies, and Experience Demonstrated strong communication, teamwork, and leadership skills. Strong
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biology, super-resolution microscopy, live-cell imaging, multi-omics, and mouse disease models to understand insulin-secretion deficiency and synapse degeneration. (See https://www.mcw.edu/departments/cell
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record (EHR) as well as MyChart data, with the opportunity to work on applications of machine learning/deep learning/ Natural Language Processing in novel areas of healthcare. The position is open for a
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well as associated materials and device physics. You have demonstrated experimental experience in nanofabrication processes (e.g., electron-beam lithography, physical vapor deposition, atomic layer deposition etc
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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to eliminating barriers created by institutional discrimination through accountability and continuous process improvement. We celebrate the diverse voices, perspectives, and experiences of our employees. Benefits
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and imaging mass cytometry, and RNA sequencing. Disease areas of interest are fibrotic lung diseases such as idiopathic pulmonary fibrosis, pulmonary graft-vs-host disease, acute respiratory distress
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://www.directives.doe.gov/directives-documents/400-series/0486.1-BOrder-a/@@images/file Equal Opportunity/Affirmative Action Employer Brookhaven Science Associates is an equal opportunity employer that values inclusion and
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, Coastal Marine Science, Computer Science, Electrical Engineering, or a closely related field. The ideal candidates will have experience in one or more of the following topics: deep learning for image and
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of mutational processes in human health and disease. We are an interdisciplinary team of experimental, computational, and clinician scientists allowing us to generate and analyse complex data from emerging