762 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "FORTH" positions at University of Texas at Austin
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, including survival analysis, time-series techniques, causal inference approaches, and/or machine learning methods to large healthcare datasets. Prior experience mentoring or supervising graduate students
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logistics in collaboration with instructors and CNS Experiential Learning. Assists with Marine Science Club. Work with MSI IT to keep distance classroom connected and running properly Assist with script and
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abilities to navigate patient inquiries efficiently. Multi-tasking and organizational skills to manage high call volumes effectively. Basic computer proficiency, including data entry and navigating multiple
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mobile app data collection tool, developing machine learning algorithms to sense psychological states in daily life, and sending iterative micro-experimental mental health interventions via smartphones and
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deadlines to effectively manage multiple projects across different areas with accuracy. Ability to learn quickly and adapt flexibly. Experience in taking ownership of projects and guiding them to successful
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or more years of professional experience as a Electrical Engineer or Computer Scientist. Knowledge and experience with network architecture variations, link aggregation, ECMP, BGP, VLANS and DNS. Experience
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. The University of Texas at Austin School of Nursing continues to be a leader in nursing education, climbing in the latest U.S. News & World Report rankings for 2025. The Master of Science in Nursing (MSN) program
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, ability to follow-through, and strong problem-solving skills. Proficiency in Microsoft Excel and Word and willingness to learn other technologies as necessary. Ability to work independently and on a team
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, Voice, Imaging, and NLP in partnership with operational and technical teams. Advanced expertise in predictive analytics, simulation modeling, machine learning, or AI-enabled decision support systems
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domains such as advanced packaging, and in the process to help restore U.S. leadership in semiconductor manufacturing. We are developing cutting-edge semiconductor manufacturing equipment and processes