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Position Details Position Information Recruitment/Posting Title Non-tenure-track faculty position, Electrical and Computer Engineering Department Electical & Computer Engineer Salary Details
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Intelligence & Machine Learning Engineer/Scientist I works within the Artificial Intelligence Operations and Data Science Services group (AIOS) in the Informatics & Analytics department of Dana-Farber Cancer
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of Computer Science and Electrical and Computer Engineering. INESC-ID’s research impact is focused on four Thematic Lines Energy transition Life and health technology Security and privacy. Societal digital
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of separating fire-induced signatures from natural environmental variability (weather, canopy changes, tree motion) and fluctuations in the SoO sources themselves. Machine-learning methods will help improve long
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in electric machines. Special Requirements: This position requires the ability to obtain and maintain a DOE Q clearance from the US Department of Energy. As such, this position is a Workplace Substance
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focuses on understanding normal human biology and disease through studies of molecules, cells, tissues and systems as well as the engineering aspects of life science and medicine. Current interests include
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Current University of Arkansas System employees, including student employees and graduate assistants, need to log in to Workday via MyApps.Microsoft.com , then access Find Jobs from the Workday
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the School of Environmental and Biological Sciences. Expert-level communication skills will support and strengthen the Department’s current functions and allow for growth in new areas. Work is consistent with
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to: Distribution Grid Design and Operation, Bulk Grid Planning and Operation, Electric Machines, Energy Conversion, and Power Electronics Converters and Systems. The University is also a partner in the management
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preschool through high school. Specialty services include the New Jersey suicide prevention helpline and peer help lines for police, veterans, active military, teachers, mothers of special needs children and