20 parallel-processing-bioinformatics Postdoctoral positions at Carnegie Mellon University
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language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative ways to understanding, processing, and
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you through the process of transitioning from a postdoc to an independent researcher. Our postdocs have been successful in their career development, such as earning the NSF postdoc fellowship. We
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through their work. You should demonstrate: Strong foundations in manufacturing, microfabrication, and microfluidics, extensive experience in experimental design and process development, and hands
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timely sources of data to understand the labor impacts of AI. The researcher will deploy an empirical approach to measure and better understand the relationship between business processes and technology
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by engaging in an R&D effort to develop the next generation pressure-assisted cryopreservation system and such other tasks that are assigned to you. Core Responsibilities: Computer modeling
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timely sources of data to understand the labor impacts of AI. The researcher will deploy an empirical approach to measure and better understand the relationship between business processes and technology
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Responsibilities Include: Develop computational methods for inference and control that improve the reliable and efficient operation of autonomous agents in complex, uncertain environments. Modeling dynamical systems
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Learning Squared project, run by the Human-Computer Interaction Institute at Carnegie Mellon University aims to double the rate of math learning in middle school students, particularly those who have been
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for the Pitkow Lab. Core Responsibilities Include: Develop computational methods for inference and control that improve the reliable and efficient operation of autonomous agents in complex, uncertain environments
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for the Pitkow Lab. Core Responsibilities Include: Develop computational methods for inference and control that improve the reliable and efficient operation of autonomous agents in complex, uncertain environments