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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
and numerical algorithms from linear algebra, statistics, optimization, machine learning, and AI, applying them to advance technology in fields like industrial automation, speech processing, digital
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, implementation, data collection, and data analysis. Work activities may include: • Developing analysis tools to extract physical meaning from in-situ process data • Developing machine learning algorithms to drive
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
analytics techniques Clean, manage, and prepare research data (including electroencephalography (EEG) and magnetic resonance imaging (MRI)) for analysis Assist with algorithm development, optimization, and
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engineering to test and evaluate SONAR signal processing and automation algorithms developed both internally and externally (may include travel to test sites for specific test events). Implement research grade
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perception pipelines, including BIM-based SLAM, traversability map analysis, and 3D LiDAR/vision sensor fusion. • Design few-shot learning algorithms for robust detection of temporary construction objects
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for platforms such as Instagram Reels, TikTok, and YouTube Shorts. Knowledge of current social media trends, platform algorithms, audience engagement strategies, and digital marketing best practices. Excellent
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evaluation of machine learning, computer vision, and other algorithms, primarily in the context of health. They will be part of the thriving research community of Duke Spark (spark.duke.edu) where AI
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in the field of operational research and/or machine learning algorithms would be a plus. In accordance with the commitments made by the CEA to promote the integration of disabled people, this job is
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Responsibilities: Conduct high-quality research in the field of AI, focusing on multi-omics data analysis and fusion for precision medicine Design and implement innovative AI algorithms and models to solve complex
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in developing, testing, and enhancing financial aid management systems (e.g., PowerFAIDS) and integrations with other university systems; analyze and test algorithms and business processes for