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research in Physics-Informed Machine Learning (PIML) for metal additive manufacturing process. This role will focus on developing novel machine learning frameworks that seamlessly integrate physical
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-phd-positions/ . Requirements Top-ranked Master's degree in robotics, computer vision, system control, machine learning, mathematics, or a related field (background in any of the following); Being
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and/or experience combined of which two years must include related post high school education) Required License No If yes, what is the required licensure/certification? Required Computer Applications
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incorporate optimized machine learning algorithms, support standardized IoT protocols, and be validated in laboratory and semi-industrial environments. The project contributes to smart maintenance strategies
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a full range of baccalaureate- and graduate-level programs, as well as doctoral degrees in educational leadership, marine biology, nursing practice and psychology; and many distance learning options
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, see the Geometric Machine Learning Group's website: https://weber.seas.harvard.edu For questions, please email mweber@seas.harvard.edu . Applications will be reviewed on a rolling basis. Basic
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University of California, San Francisco | San Francisco, California | United States | about 5 hours ago
bargaining agreement. The salary range for this position is $27.25 - $36.69 (Hourly Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https
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Job related to staff position within a Research Infrastructure? No Offer Description As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff
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, but are not limited to: supervision of paraprofessional staff, administration of special programs (academic initiatives, theme and living learning community hall programming, Honors programs, etc
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seeks to appoint an Associate Research Scientist. Motivated applicants with a strong background in Machine Learning, Robotics, Haptics, and interest in leading cross-disciplinary research to study