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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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reports, implementation of research results, and demonstrating their applicability in systems applications. PhD in Computer Science or related field. Carnegie Mellon University shall abide by
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integrity. We are looking for someone who shares our values and who will support the mission of the university through their work. Qualifications: PhD degree in Computer Engineering, Computer
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internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work. Qualifications: PhD degree
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varied population of diverse audiences. We are looking for someone who shares our values and who will support the mission of the university through their work. Qualifications: PhD in Machine Learning
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support the mission of the university through their work. Qualifications PhD in materials science, chemistry, engineering, physics or related discipline is required. Graduate level research experience with