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questions and hypotheses, mine software repositories data, build statistical models, develop methods for linking scientific software to the scientific outut it helps to produce, and write up and present
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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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