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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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supervisors or instructors. Additional Information Target start date: August 1, 2026 (negotiable) Term: One year, with possible renewal pending satisfactory performance Review process: Applications will be
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, background in neuroscience. Candidates should have prior experience with electrophysiology, behavioral analysis, and stereotaxic surgery. Additional experience in computational methods and programming (Python
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spectrometry, including instrument operation, troubleshooting, and data analysis, are required. Experience with LC-HRMS and/or GC-HRMS are preferred. Other desired skills include experience with independent
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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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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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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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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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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