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Field
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to support dynamic digital twin simulations. Multimodal Data & Sensor Fusion: Implement or accelerate processing and inference algorithms for real-time multimodal data, natural language, signal, and image
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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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human health behaviors, environmental factors, social and economic factors, policies and genetic determinants of health, into studies focused on the treatment and prevention of disease, as
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datasets and data models ● Experience working with a DBMS in both on-cloud and on-premise environments ● Experience in C++ programming ● Problem solving skills and ability to think algorithmically
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datasets and data models ● Experience working with a DBMS in both on-cloud and on-premise environments ● Experience in C++ programming ● Problem solving skills and ability to think algorithmically
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
vision problems, implementing and evaluating algorithms. The research assistant will also write papers to summarize the contributions of the proposed algorithms. Minimum Education and Experience
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
vision problems, implementing and evaluating algorithms. The research assistant will also write papers to summarize the contributions of the proposed algorithms. Minimum Education and Experience
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algorithms (e.g., NPE) for strong gravitational lensing parameter estimation. Implement domain adaptation techniques to improve model robustness and transferability between simulated and real survey data
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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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-omic molecular profiling, including genetics, transcriptomics, microbiomics, metabolomics, and immune system markers. The division leverages this data and advanced AI, medical, and computational models