40 parallel-and-distributed-computing-phd Postdoctoral positions at Carnegie Mellon University
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curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering ranks among the best in the country. Our research programs are at the forefront
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collaborative project so good communication and reporting experiences will be developed. Core Responsibilities: Plan, coordinate, and distribute information for meetings, conferences and publications and conduct
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, the applicant must have a PhD in computer science, , psychology, sociology, communications, or a related field. Experience interviewing, designing surveys, qualitative data analysis, and knowledge of statistics
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engineering, earth science, computer science, or related field required. A PhD specializing in glacier modeling, remote sensing, and/or statistics preferred. Python coding experience preferred. Strong
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disorder (ASD). Projects can be tailored to aligned interests of the applicant and the lab. Applicants must hold a PhD by the start date. Individuals with a strong background in systems or computational
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are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In addition, they are using their expertise in
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Systems Department, in the School of Computer Science is looking to hire a Post-Doctoral Fellow in Policy for the Center for Informed Democracy and Social-cybersecurity (IDeaS) at Carnegie Mellon University
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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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, or academic librarianship? Join the team of the Open Science & Data Collaborations program at Carnegie Mellon University Libraries to help foster a more open, reproducible, and collaborative research landscape
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, or academic librarianship? Join the team of the Open Science & Data Collaborations program at Carnegie Mellon University Libraries to help foster a more open, reproducible, and collaborative research landscape