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strengths in the department and the university at large, including the development of cognition, perception, attention, memory, language, decision making, emotion, and/or social functioning. Priority will be
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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply
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, mathematics, or a related field (PhD is advantageous) Experience with numerical modelling and analysis of large simulation datasets Knowledge of ocean biogeochemistry or Earth System Modelling Strong
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mathematics, computational physics, or a related discipline (PhD is advantageous) Experience with numerical modelling and analysis of large simulation datasets Knowledge of physical oceanography and experience
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knowledge and technology from academic research into the Swiss mechanical, electrical, and metal industries. The Machine Concepts research group at inspire AG is offering a position in the field of AI-based
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members have won Nobel Prizes for these ideas - the first business school to achieve this accomplishment. For more information about the University of Chicago Booth School of Business, please visit: http
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efficient transmission and robust communication. This work involves formulating rigorous analytical models, designing efficient algorithms, and establishing performance characterization methods that drive
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for probabilistic unsupervised learning for structured biological data. The successful candidate will: Develop probabilistic factor models and scalable inference algorithms for structured biological (multi-view) high
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 6 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 | about 6 hours 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