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to optimise built-environment thermodynamics and occupant comfort by creating predictive AI tools for spatiotemporal heat transfer. Machine learning algorithms will identify energy inefficiencies and propose
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University of California Agriculture and Natural Resources | Davis, California | United States | about 17 hours ago
Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 13-Jan-26 Location: Davis, California Type: Full-time Categories: Academic/Faculty Computer/Information Sciences
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optimal transport and gradient flows to machine learning and optimization applications, such as deep generative models, sampling, inference, stochastic optimization, and beyond. The doctoral student will
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(SEADS) directorate. The SEADS directorate contributes to an exciting portfolio of energy analysis and grid futures studies, applying advanced modeling and simulation tools to optimally plan, design, and
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that challenge prevailing assumptions, employ cutting-edge technologies, or integrate machine learning with neurobiological data are especially welcomed. Projects focusing primarily on animal models with
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mathematical modeling and programming. * Research experience and publications in machine learning, complex networks, and mathematical modeling. * Excellent English communication skills (written and oral
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research in hydrogeophysics, including areas such as field-based geophysical observations, computational modeling, and AI-driven analysis. Essential FunctionsEmpty heading Teach undergraduate and graduate
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promise and peril of hybrid intelligence—humans and machines working and learning together. Our mission is to establish an internationally leading interdisciplinary hub that advances foundational research
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National University of Science and Technology POLITEHNICA Bucharest, Pitesti Branch | Romania | about 1 month ago
(machine learning, deep learning); adaptive control and algorithmic optimization; integration of AI models in embedded systems and software platforms. APPLICATION Before applying, all candidates are invited
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ML models and Python programming. Work Objectives: The main objective of this position is to develop, implement, and validate advanced machine learning methodologies within the scope of the project