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. • Contribute to interdisciplinary research projects within the CUS related to urban sustainability, environmental monitoring, and urban resilience. Key Duties • Design and implement machine learning and deep
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applicant will work collaboratively with colleagues, engage in the recruitment and interviewing of participants, conduct both quantitative and qualitative analyses, provide leadership for the research group
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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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: 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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artificial intelligence for health for Fiscal Years 2026-28. The postdoc will join the vibrant, new collaborative Center for Humanities-based Health AI Innovation (CHHAIN), co-led by the Baylor College
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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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research, coordination with regional collaborators, and outreach to government and non-government partners. The position require delivering three mission-linked field programs per year in Southeast Asia
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geospatial modeling approaches to analyze urban environmental processes. • Apply machine learning and geospatial data analysis techniques to large Earth Observation datasets. • Produce high-quality
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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
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), you will contribute to advanced research in the field of connected and autonomous driving. You will be involved in European and national research projects carried out in close collaboration with