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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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: 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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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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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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healthcare application needs to analyze sensitive patient data across distributed nodes. Researchers and students can explore privacy-preserving algorithms and technologies like federated learning and zero
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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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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