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visualizations and reports, and contribute to the development of predictive models and algorithms. The Data Scientist will be responsible for developing and adapting data collection and analysis methods
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algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements. Use system reports and analyses to identify potentially problematic data, make corrections
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work on software development for robotics research projects in the IRIS lab, including projects aiming to improve upon both state-of-the-art models and algorithms for robotic learning. These projects may
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and proposing the fundamental principles, algorithms, and implementations for solving high-level visual perception and cognition problems involving computational geometry, automated image and video
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and proposing the fundamental principles, algorithms, and implementations for solving high-level visual perception and cognition problems involving computational geometry, automated image and video
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tools to interpret, analyze, and visualize multivariate relationships in data. Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data
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experimental neuroscience, computational neuroscience, and machine learning in an effort to discover algorithmic principles that bridge artificial and natural intelligence and link brains to intelligent machines
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of such solutions might include: Machine learning algorithms Text feature extraction (OCR, NLP, LLMs, etc.) Image/Video/Audio processing (Face tracking, Classification, etc.) API programming Custom full-stack
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. Generate research insights using new and existing tools to interpret, analyze, and visualize multivariate relationships and trends in data. Create databases and reports, develop algorithms and statistical
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existing tools to interpret, analyze, and visualize multivariate relationships and trends in data Create databases and reports, develop algorithms and statistical models, and perform statistical analyses