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) for automated medical image analysis (MIA) tasks, such as inspection and segmentation. By leveraging the power of large language models and integrating them with visual information, this project seeks to create a
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. Preferred qualifications Strong analytical and modeling skills, including data science, database management, data visualization, etc. Strong publication record Experience working on subjects related to one
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-source workflows, version control (e.g., Git), and reproducible documentation. • Developing high-quality data visualizations and scholarly content. Limited travel may be required to attend meetings and
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Energy Laboratory (NREL), located at the foothills of the Rocky Mountains in Golden, Colorado is the nation's primary laboratory for energy systems research and development. Join the National Renewable
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skills. Ideal applicants will also have experience with some combination of: a) Machine learning e) code optimization and software delivery f) big data visualization g) cloud computing h) web application
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overall research agenda. Provides data analytic, statistical, and data visualization techniques necessary to answer programmatic research questions. Engages in dissemination of research findings in multiple
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remotely-sensed data into models and decision support frameworks. Explore visualization and communication mechanisms that enhance utility of information for a diverse stakeholder group including producers
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/2025 Job Summary Dr. Katherine SF Damme is hiring a full-time Post-Doctoral Research Associate for her new lab in the School of Behavioral and Brain Sciences (BBS) at the University of Texas at Dallas
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recommendations Proficiency in MS Office and data visualization software (e.g., Tableau) Additional Information: This is a 2-year appointment, renewable based on the need for the position, availability of funding
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the Department of Radiology & Nuclear Medicine at the University of Maryland School of Medicine is a new collaborative and supportive environment for investigators who are conducting cutting-edge imaging research