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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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University of California, Los Angeles | Los Angeles, California | United States | about 24 hours ago
mechanisms associated with immune phenotypes, as well as development and application of machine-learning and statistical models for classification, prediction, feature selection, dimensionality reduction
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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
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of tax data. Core goals include creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools
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of tax data. Core goals include creating a semantic repository for storing and indexing tax documents, designing machine learning algorithms to represent data in embedding spaces, and building tools
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hedonic and causal machine learning models, to estimate the impact of renewables on house values. We will work closely with a range of stakeholder groups to tailor outputs in ways which maximise their value
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experimental workflows including closed-loop thin-film optimization Apply AI and Machine Learning for data analysis and modelling Develop, improve and implement HW/SW concepts and components to automate
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methodologies of AI; machine learning; generative AI; trustworthy AI; AI for science. EEO/Non-Discrimination Commitment Statement: Harvard University is committed to equal opportunity and non-discrimination. We
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new methods for integrated sensing and communications in optical networks. Cutting-edge machine learning techniques for sensing data analysis, models of the impact of external phenomena on optical