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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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the primary point of contact for the Xenocs Xeuss 3.0 SAXS by supporting users through leading training sessions, providing guidance on techniques and data analysis, and running samples on behalf of external
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graph mining and machine learning with a preferred focus on neural network based data modeling and anomaly detection. Background in graph theory, graph learning/inference, and graph mining. PhD must have
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supporting users through leading training sessions, providing guidance on techniques and data analysis, and running samples on behalf of external/remote users. Your core responsibilities will include