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About the Opportunity About the Institute for Experiential AI and Northeastern University Do you want to be part of an exciting new Institute focused on combining human and machine intelligence
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Management within R&D Projects, by the Code of Administrative Procedure (CPA), all in their current wording, and by other applicable national and community legislation. Procedure Reference: IT137-26-63 I
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of characterization techniques for animal feed and animal products. c) Ability and experience in collecting and organizing field data and secondary information. d) Basic computer skills from a user's perspective. e
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(spoken and written), certified if not a native language; e) Basic computer knowledge from the user's perspective; f) Show professional rigor and strong ability to work in a team; g) Demonstrate resilience
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or panel presentations) at scientific, academic or science outreach events. f) Basic computer knowledge from the user's perspective. g) Verbal expression capacity and fluency in Portuguese and English. h
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–United Electrical, Radio and Machine Workers of America, Local 1105) Qualifications Required Qualifications Bachelor’s degree. Limited to students registered in a graduate degree program at the University
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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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Your Job: We are looking for a PhD student to contribute to the development of fast, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular
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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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, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular geometries. Current simulation-based approaches require complex 3D meshes and are often too slow