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Field
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, design, implement, and validate an optimization system for scheduling group classes within the Koachy platform. The specific goals include: Develop attendance prediction models for different types
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data to assess fault impacts on efficiency and to forecast system performance. The developed methods and algorithms will be validated on both scaled in-house test setups and Å Energi’s pilot HEPs, in
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applying Natural Language Processing (NLP) algorithms. Knowledge or prior experience in Virtual Reality technologies. Work Plan: The grant aims to develop Agricultural Simulations using Virtual Reality as a
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during pandemics. Populating these instances with real-world data we would then develop novel algorithms to solve them. The selected candidate would disseminate their research by publishing in top-tiered
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mentor graduate students, contribute to grant proposal development, engage in agency outreach and partnership activities, publish high-quality research articles, and represent U-M at national professional
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operational hydrologic modeling systems and decision-support tools for flood and drought risk management. The postdoc will also mentor graduate students, contribute to grant proposal development, engage in
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years of continuous R&D. It transforms pioneering Australian research into a market-ready product for transport planning. About the opportunity Lead research and development of advanced computer vision
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Responsibilities Development of new machine learning modeling approaches Development of new advanced control and optimization algorithms Optimization of carbon capture process operation Provide regular project
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product for transport planning. About the opportunity Lead research and development of advanced computer vision models, multi-object tracking, and post-processing methods to improve traffic video analytics
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scientists, biomedical informaticians, clinicians, and public health researchers to develop deployable, trustworthy methods that improve patient outcomes and health system operations. Key responsibilities