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are highly desirable. For the quantitative position, the applicant must have a PhD in computer science, statistics, or related field. Experience with empirical studies of software artifacts and social network
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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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