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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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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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: Artificial Intelligence and Machine Learning Hardware Design, Circuits and Systems Algorithms Programming Languages & Software Engineering Only shortlisted candidates will be notified.
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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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downscaling algorithms scoping algorithm integration into analytical workflows writing up findings for presentations and possible publication disseminating findings to key stakeholders maintaining information
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methods to nuclear nonproliferation challenges. Develop, evaluate, and apply data-driven algorithms, selecting appropriate analytical approaches based on problem characteristics, available data, and mission
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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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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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or AI – for example, stochastic optimization and sampling algorithms, high dimensional probability, diffusion models, statistical learning theory or teaching courses on the mathematical foundations of ML