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Field
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Engineering. Required Other None Additional Preferred Evidence of strong written and oral communication skills Track record of peer-reviewed publications in the field of cybersecurity and machine learning
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Apply now Job no:536491 Work type:Faculty - Other Location:Eugene, OR Categories:Biology/Life Sciences, Research/Scientific/Grants, Chemistry, Physics, Human Physiology Department: Knight Campus
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Career Progression Track A00 Track Level FLSA Code Administrative Patient Sensitive Job Code? No Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary M-F – Working
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track record in one or more of the following fields: (1) human-computer interaction, collaborative AI, (2) Generative AI/machine learning, (3) interaction design, experimental design, or evaluation
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technology (PAT) adds cost, time, and introduction of human error. This project aims to develop a novel, label-free microbial detection method, coupled with machine learning tailored for cleaning validation
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secondary data sources for research; use and analysis of quantitative data in concert with extensive in-depth literature reviews and related written summaries targeting AI topics; completion of human subjects
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research, human-computer interaction, social psychology, organizational behavior, or education. ? Track record of empirical research with practitioners or end-users in relevant contexts. ? Strong
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18 Mar 2026 Job Information Organisation/Company Institut Jacques Monod, CNRS UMR 7592 Department Human Neurodevelopment & disorders Research Field Biological sciences » Biology Neurosciences
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on the track of Cyber-Human Physical Systems seeks researchers to advance Systems Science and Engineering by modeling human behavior in complex dynamic networks addressing global challenges. Emphasizing Cyber
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(school leaders, administrators, teachers, students, parents, and policymakers). Prepare and submit Institutional Review Board (IRB) applications and ensure ongoing compliance with human subjects research