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and computer engineering. Working closely with interdisciplinary researchers. Performs other duties as assigned. Flexibility and cultural sensitivity are valued proficiencies at CMU. Therefore, we
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Details Posted: 26-Feb-25 Location: Pittsburgh, PA Categories: Academic/Faculty Internal Number: 121735 The laboratory of Kate Hong, PhD, at Carnegie Mellon University is seeking a postdoctoral
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and initiatives. · Provide policy feedback on IDeaS student research. · Must have at least PhD in policy or related field · Must have some experience in policy analysis
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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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molecular dynamics simulations. Strong programming skills, expertise in numerical methods and data analysis are required. Ideal candidate must have background in modelling biomechanical systems, non
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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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your own research projects Mentoring master's and PhD students. Helping with or performing other tasks to prepare you for faculty applications, such as grant writing, teaching, etc. Performs other duties
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, collaborating/advising with students in the group, and attending weekly group meetings. Research in AI, machine learning, computer science and electrical and computer engineering. Working closely with