16 Computer-Science-"https:"-"https:"-"https:"-"https:"-"UCL" Postdoctoral positions at University of Michigan
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in data science, computer science, AI, or environment and sustainability with a strong focus on the use of AI approaches. Experience using computational data science or AI approaches. Strong
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Required Qualifications* PhD in civil/environmental engineering, hydrology, hydraulics, water resources engineering, GIS, remote sensing, atmospheric sciences, climate science, computer science, data
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Qualifications* - PhD in Mechanical Engineering, Robotics, Computer Science, Electrical Engineering, or a related field - Strong background in computer vision and/or machine learning, with hands-on
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package including medical, dental, and vision as detailed here: https://hr.umich.edu/benefits-wellness . Dedicated funds to support professional development opportunities including travel funds to
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learn more about SEAS and our values, please visit our website at https://seas.umich.edu/about/seas-values . School for Environment and Sustainability (SEAS) The School for Environment and
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, Statistics, Mathematics, Computer Science, or a related quantitative field by the time of appointment Strong methodological and computational skills Demonstrated interest or experience in health-related
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the world's preeminent research institutions. The School of Kinesiology at the University of Michigan is one of 19 independent academic units and one of seven health science schools and colleges
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, and mentorship of study personnel and student research assistants (EF). Performs other related duties as assigned. Required Qualifications* Ph.D. in exercise physiology, exercise science
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National Science Foundation. Its mission is to lead innovative research to understand and generate resilience to water-related challenges in transboundary regions, emphasizing interdisciplinary research
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UMTRI's Engineering Systems Group (ESG), and will conduct research that focuses on the intersection of AI, computer vision and large-scale simulation. The candidate should demonstrate a keen