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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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Learning about protein design and engineering Exploring cell-based and cell-free screening Applying high-throughput screening Utilizing bioinformatics, machine learning, and other computational approaches
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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
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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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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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one of the following areas: electrical, mechanical, industrial, biomedical, chemical, manufacturing, aerospace, or computer. The candidate must: Be a United States citizen of Italian descent Be a
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and