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. • Analysis, interpretation, and reporting of results in collaboration with international partners. • Contribution to publications, project reporting, and dissemination activities. Required experience • Coating
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. The successful candidate will engage in innovative research addressing statistical methodology, machine learning, and/or learning techniques in complex biomedical and health-related challenges. We particularly
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projects within the CUS related to urban sustainability, environmental monitoring, and urban resilience. Key Duties • Design and implement machine learning and deep learning models for hydrological
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, and (b) work in close collaboration with the central administrative team at the University of Minnesota in conceptualizing and implementing novel research facilitation activities. The Postdoctoral
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experience in computational and machine learning approaches for use in the quantitative measurement of human learning and its associated behaviors and motivational constructs. A strong applicant will hold Ph.D
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dissemination activities. The role will also involve other assignments at the department. Main duties: Support the overall coordination and day to day management of Hort2thefuture in close collaboration with
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, integrate device engineering with clinical workflows, and apply artificial intelligence and machine learning for automated image and signal analysis, tissue classification, and real-time diagnostics
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% - augment mentoring skills by assisting or collaborating with junior members of the lab 5% - enhance scientific communication skills by presenting research findings at lab meetings, at local/national
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: Applied mathematics; Machine Learning; Mathematical Modelling Appl Deadline: 2026/03/24 10:59 PM UnitedKingdomTime (posted 2026/03/18 04:00 AM UnitedKingdomTime, listed until 2026/04/01 04:59 AM
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] Position Title: Position Type: Postdoctoral Position Location: Lemont, Illinois 60439, United States of America [map ] Subject Area: High Energy Physics / Machine Learning Appl Deadline: none (posted 2025