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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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of Tennessee, Knoxville More Jobs from This Employer https://main.hercjobs.org/jobs/21907419/electrical-engineering-and-computer-science-research-assistant-x2f-associate-x2f-full-professor Return to Search
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enrolled in the Spring semester as a Graduate student at the University of Oklahoma. Hiring continent upon verification of current student status. Must attach Spring 2026 class schedule Learning Outcomes
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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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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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Position Overview School / Campus / College: College of Engineering Organization: Electrical and Computer Engineering Title: Research Assistant Professor (Non-Tenure) - Li Lab Position Details
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. Experience in molecular modelling, simulations, AI, and machine learning applied to proteins. A track record of research outputs, including publications and presentations at national or international level
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that support Sandia National Laboratories’ Research Foundations. For information about the Research Foundations, please visit https://www.sandia.gov/research/research-foundations/ . Sandia has as its mission
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areas that support Sandia National Laboratories’ Research Foundations. For information about the Research Foundations, please visit https://www.sandia.gov/research/research-foundations/ . Sandia has as