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, computer vision, remote sensing/satellite imagery, social network analysis, social media analysis, and machine learning. An active research agenda with a record of, or clear potential for, publication in
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of experience in statistical consulting, data analysis and design related to basic, clinical and/or population health. Skills Communication skills Organizational skills Required Documents Resume/CV Cover Letter
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outcomes. Research Data Management and Analysis: Lead the processing, cleaning, integration, validation and analysis of complex clinical and skin imaging datasets, including 2D and 3D medical imaging data
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: Elementary Statistics, Market Data Analysis, Marketing Science, General Education Seminar, Innovation Laboratory and Thesis Work (Classes of Graduate Program of Management may be added.) * Assigned department
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 8 hours ago
. Responsibilities include experimental design and execution, data analysis, manuscript preparation, presentation of research findings, mentorship of trainees, and contribution to a collaborative and inclusive
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, clinical and sensor data processing, quantitative image analysis and machine learning. They will establish and maintain robust research databases and FAIR-compliant data management processes for large, multi
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example through relevant work experience and/or peer-reviewed academic works. You must have excellent written and oral English skills You must have good programming and data-analysis skills, for example in
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operations include teaching/training new users on tool operation, experimental design, and data analysis/interpretation. The candidate will also perform work for remote CNS users. Working with other
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requirements, and tracking and reporting on Innovation Programs alumni businesses. • Be responsible for qualitative and quantitative data collection, storage and analysis processes in compliance with
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inference) Algorithmic development for bilevel (or multilevel) optimization Methodological developments in Bayesian statistics and/or decision analysis Application of adversarial risk analysis within security