39 phd-position-in-database-modeling Postdoctoral positions at Carnegie Mellon University
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through their work. You should demonstrate: Strong analytical abilities Excellent organizational and planning skills Effective problem-solving and critical reasoning skills Qualifications: PhD in Economics
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values and who will support the mission of the university through their work. Qualifications: PhD in Mechanical Engineering, Chemical Engineering, Materials Science, Electrical Engineering, Chemistry or
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. 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 Mechanical Engineering, Biomedical Engineering or a
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Maarten Sap's group in the LTI at CMU. Core Responsibilities: Conducting research in NLP and social intelligence of agents, ethics of AI and positive applications of AI (culture, mental health). Leading
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shares our values and who will support the mission of the university through their work. Qualifications: PhD in Materials Science and Engineering or a related field (e.g., physics, chemistry, chemical
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. Applications will be considered until the position is filled. Please upload your detailed CV (including the contact information for two references), and a one-page research statement discussing how your
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. Applications will be considered until the position is filled. Please upload your detailed CV (including the contact information for two references), and a one-page research statement discussing how your
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consistently rank among the top engineering programs by US News and World Report. The department of Civil & Environmental Engineering at Carnegie Mellon University is seeking a postdoctoral research position in
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. In particular, creating wide area networking telemetry techniques to identify protocol limitations and create models to evaluate different protocol options. Project 2 (Programmable infrastructure
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. Active research thrusts within the AiPEX lab include AI for complex physics-based modeling and simulation, AI for enhancing human performance and decision making, AI for advancing personalized learning