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of design, computation, and robotics. ARG's research interests include topics such as robot learning, human-robot interaction, Generative AI, computer vision, closed-loop control, additive manufacturing
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Language and Intelligence, the Princeton Center for Statistics and Machine Learning, and the greater STEM community. This position works closely with librarians and information specialists, guiding
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Computer Science, Electrical and Computer Engineering, Princeton Language and Intelligence, the Princeton Center for Statistics and Machine Learning, and the greater STEM community.This position works closely with
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education. Connections working at Princeton University More Jobs from This Employer https://main.hercjobs.org/jobs/21889608/updated-assistant-professor-of-electrical-and-computer-engineering Return to Search
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(faculty, students, staff) operating machines and tools for independent research or educational purposes: -Organize and deliver instructional classes for new users of the SEAS machine shop -Instruct users in
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of novel algorithms, machine learning for parsing biological data sets (genomics, proteomics, imaging, neuroscience), and related areas at the interface of computer/data science and the life sciences
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: -A strong background in science and a bachelor's degree is required. -Math and computer proficiency, along with meticulous record keeping is required. -Must be highly motivated, a team player, able to
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well as the rigor, innovation, and interdisciplinary emphasis of the proposed seminar course.The appointment period will be for either the Fall 2026 or Spring 2027 semester. The Anschutz Fellow(s) will teach one
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applications in machine learning. The ORFE department is part of the School of Engineering and Applied Science which is pursuing several initiatives in related areas.To be successful, the candidate must have a
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advanced artificial intelligence/machine learning (AI/ML) solutions for fusion science and operations. Building and applying foundation models and surrogate models to speed analysis and optimize performance