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. In this project, we aim to develop digital tools combining density functional theory (DFT) and machine learning (ML) to accelerate the in-silico design of solid catalysts for the DA process. - Perform
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-pharmacologic therapies, and explore reasons for health disparities in the areas of brain health and neurodegenerative disease using advance analytic and machine learning models. The Post-doctoral Research Fellow
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use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities are experimentally driven and
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educational methodologies, data analytics, and digital learning platforms Lead and contribute to grant proposals and peer-reviewed publications to secure funding and disseminate findings focused on AI and
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industrial sites Entity: ASARI About UM6P: Mohammed VI Polytechnic University (UM6P) is an internationally oriented institution of higher learning, that is committed to an educational system based
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application! Work assignments This position focuses on the development of theoretically grounded and practically scalable decentralized learning algorithms under realistic system constraints, including
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developmental activities, with motivation to prepare and implement grant projects, acquire commercial contracts, and potentially engage in teaching activities. The Department of Neutron and Ion Methods
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Demonstrated creative and proactive approach towards problem solving Knowledge of and experience in general analytical methods development and good analytical practices Maintains a working knowledge of
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, applying analytical rigor and statistical methods, and driving toward actionable insights and novel solutions Expertise in causal inference and machine learning is desirable but not necessary This position
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Position Overview School / Campus / College: College of the Environment Organization: Atmospheric Sciences Title: Postdoctoral Scholar - Machine Learning for Extreme Weather Events Position Details