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three courses per year, distributed according to the needs of the Department and upon mutual agreement. The appointee may be required to teach and develop courses on both undergraduate and taught
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needs Ō pūmanawa | About you You need A post-graduate qualification or an appropriate tertiary qualification, with relevant post-graduate experience, such as data science and machine learning, vegetation
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benefits , including medical, dental, and vision. To learn more about the Center on Race, Inequality, and the Law, visit http://www.law.nyu.edu/centers/race-inequality-law . Questions may be addressed
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laser repair system that integrates corrosion assessment, cleaning, cutting, repair, and painting within a single robotic unit. Using computer vision, machine learning, and predictive models, it enables
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researchers, to undertake your own innovative research in and across the fields of robotics, electrical power and signal processing, machine learning and AI within the School of Electrical Engineering and
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, all influenced by Penn’s distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
(e.g., liberal arts, economics, public policy, and/or pre-medical background) and / or equivalent experience / training Skills to learn organization-specific and other computer application programs Basic
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Your Job: We are looking for a PhD student in machine learning to work within a project linked to the “Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE)”. Your Job: Develop
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occupants as it relates to occupant injuries, crash protection, and occupant accommodation. Biosciences researchers use state-of-the-art laboratory testing facilities, computer modeling, and data analysis
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modeling and model–data fusion techniques, and developing faster, machine-learning–based tools that can stand in for slow model simulations. These tools will be used to test how model parameters influence