32 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" uni jobs at University of Washington in United States
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hiring events, including identification and invitation to employers, marketing and communications, event management, student engagement, among others. Develop and deliver student learning materials, events
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September 16, 2026 or January 1, 2027. This position will split its time between (1) supporting the AI and Machine Learning Education graduate programs , based in the College of Engineering, with a range of
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conversations, embracing creativity, and recognizing that every challenge represents an opportunity to learn. We are a COMMUNITY who strive to create experiences for our stakeholders every single day. At our core
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their academic journey, and fosters a campus climate that enriches the experience for all. More information about the Office of Minority Affairs & Diversity is available at https://www.washington.edu/omad/. Within
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acoustics. • Experience in End-to-End AI/ML production systems from inception to deployment. • Experience in one or more areas such as machine learning, pattern recognition, data mining, and
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: $19,166-$41,667 per month, commensurate with experience and qualifications, or as mandated by a U.S. Department of Labor prevailing wage determination. This range is inclusive of base salary provided
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Engage in preparation and packaging of medications and other pharmacy-related functions Work in an area that promotes a place where healing, science, and learning come together, the opportunity to network
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, robotics, biomechanics and biomedical engineering sciences, physics-based machine learning and artificial intelligence modeling and controls, energy storage and electrification, renewable energy and thermal
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- $12,000 per month ($108,000 - $144,000 annually), commensurate with experience and qualifications, or as mandated by a U.S. Department of Labor prevailing wage determination. Salary will be pro-rated based
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application development (containers and containers orchestration, machine learning, function as a service) Secure web application development practices Lean/Agile software development methodologies Work in