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Trustworthy AI Systems NSF Research Traineeship, the Digital Trade and Data Governance Hub, the Center for Machine Learning, and the Human-Computer Interaction Lab at UMD, and the Center for Equitable AI and
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areas such as project management, reporting, and professional research and innovation practice, in the context of the 3 ECTS course “Soft Skills for Applied Computer Scientists”; You contribute, where
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Electrical Engineering, Computer Engineering, Computer Science, or related field. Strong background in digital communications / signal processing (e.g., modulation/coding/synchronization; performance
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, optimization, and characterization integrating imaging, experimental metadata, and diffraction outcomes. Design and deploy computer vision methods to detect and track crystal growth. Develop closed-loop
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). Experience with human-factors instrumentation and data streams: eye tracking, physiological sensors, and motion capture. Familiarity with data/video coding tools and computer vision (e.g., OpenCV, scikit-learn
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written Communication Skills. Certificates/Credentials/Licenses M.D. or PhD Required Computer Skills General office suite, GraphPad-Prism, Endnote, Snapgene, and willingness to learn lab specific software
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IMADA uniquely brings mathematicians and computer scientists together within a single department to foster theoretically well-backed, high-quality data science research. The department is home to numerous
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
involves repetitive bench tasks such as pipetting, extended periods standing or seated at a laboratory bench, and extended periods at a computer workstation for data analysis. Reasonable accommodations will
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; Standing, sitting, walking, talking or hearing. Manual dexterity and vision sufficient for standard laboratory and computer operations. WORK ENVIRONMENT: Lab environment. Moderate noise. Travel to various
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. in Computer Science, Electrical Engineering, Biomedical Engineering, or a related field, with expertise in computer vision or medical image analysis. 2. Demonstrated research experience in 2D/3D