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Field
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. The aim is to develop a presentation that is both academically grounded and accessible to a broad public, inviting critical reflection and dialogue. In collaboration with another UU postdoctoral researcher
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Position Summary Postdoctoral Research Associate position open in the Williams Lab in the Department of Ophthalmology and Visual Sciences. The Williams Lab is seeking a postdoctoral researcher with
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communication skills, both written and oral • Strong data analysis skills, including experience with statistical software (SAS, R) • Demonstrated ability to prepare manuscripts, reports, data visualizations
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fundamental and applied research in different areas of Human-Computer Interaction (HCI) such as visualization, human-centered design, privacy, graphical design, and human-centered AI. We are looking
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, medical images, patient logs and other relevant health related data points. Assist in managing study portals, data pipelines and visualization dashboards. Assist in maintaining production systems currently
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of Maryland School of Medicine is a new collaborative and supportive environment for investigators who are conducting cutting-edge imaging research and development (R&D) of CADt, CADe, and CADx-type tools with
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Python, for processing and interpreting complex proteomics data Familiarity with proteomics software for data analysis, visualization, and management Experience with biological samples (e.g., FFPE, plasma
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the Rosaceae, Citrus, Vaccinium and Pulse crop databases to meet community demand for resources with usable big data aggregated, analyzed, integrated, and visualized, as well as data management and analysis
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. There is no direct patient care or contact involved in this position. The main responsibilities include developing and carrying out research projects using cell, developmental, biochemical and molecular
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
, designing tools for data interpretation and visualization, and/or training foundation models and large language models (LLMs) for diverse biomedical applications. Dr. Li has published over 70 peer-reviewed