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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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curious to deliver work that matters, your journey starts here! Innovation. Interdisciplinary collaboration. Complex problem solving. In Carnegie Mellon University’s Department of Mechanical Engineering
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curious to deliver work that matters, your journey starts here! Innovation. Interdisciplinary collaboration. Complex problem solving. In Carnegie Mellon University’s Department of Mechanical Engineering
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Interaction Institute (HCII) at Carnegie Mellon University (CMU) invites applications for a two-year Postdoctoral Fellowship focused on advancing human-centered AI in training environments that support well
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Management. This co-location uniquely enables interdisciplinary and sector-neutral work at the intersection of people, policy, and technology. The college has highly-ranked undergraduate, masters, doctoral
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addition to this load, successful candidates are expected to conduct research in collaboration with CMU-Q faculty or local partners. We are particularly interested in candidates in the areas of Computer Systems
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Professor Oppenheimer’s laboratory, with opportunities to explore questions in metacognition, decision making, reasoning, pedagogy/education, and how technology shapes cognition. Postdocs will conceive and
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Computer Science, AI, Machine Learning, Computer Engineer or a related field. Strong background in machine learning and machine learning frameworks Proficiency in Python and deep learning frameworks A combination of
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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