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essentials, data structures and/or databases, statistical computing and machine learning. Experience: Experience within an academic environment. Experimental design including basic science experiments
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; statistical foundations and methodologies of AI; machine learning; generative AI; trustworthy AI; AI for science. EEO/Non-Discrimination Commitment Statement: Harvard University is committed to equal
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of Georgia leadership institution and is The Military College of Georgia. More details on the UNG Mission, Values, Vision, and Culture can be found at https://ung.edu/about/mission-vision-values.php
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 3 hours ago
of microscopy, multiplexed immunofluorescence, spatial/protein imaging, or image-derived single-cell phenotypes. Machine learning, latent variable modeling, variational autoencoders, optimal transport, graph
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therapeutics and antimicrobial peptides. The Postdoctoral Researcher will apply computational modeling, structural analysis, and machine learning approaches to support mechanistic studies of cellular signaling
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and biomedical data preparation, feature engineering, statistical modelling, machine learning model development, validation, performance evaluation, workflow prototyping, reproducible analysis
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 14 days ago
of interest include machine learning and statistical inference for neural data, multimodal neural data integration and harmonization, computational modeling of cognition and behavior, neuroimaging analytics
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 days ago
of interest include machine learning and statistical inference for neural data, multimodal neural data integration and harmonization, computational modeling of cognition and behavior, neuroimaging analytics
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systems and control theory, circuit theory, optimization, and machine learning, with the ultimate goal of advancing the mathematical foundations of physics-based learning. Your responsibilities include
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, Physics, Electrical Engineering, Communication Engineering, or equivalents; – Knowledge in artificial intelligence, statistical and machine learning, complex systems, agent-based modeling and simulation