45 power-system "https:" "https:" "https:" "Lawrence Berkeley National Laboratory Physics" Postdoctoral positions at Carnegie Mellon University
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deployable systems, and study the impact of AI-powered training environments designed to enhance psychosocial skills in real-world settings: - Mental health and well-being: Collaborating with large-scale
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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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research centers provides opportunities for collaboration and support. For instance, Heinz College is a sponsor of Carnegie Mellon’s new Center for Collaboration Science (https://cmu.edu/colab
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is able to quickly integrate into new research areas and will be responsible for actively engaging in novel research questions, publishing and communicating research results. Candidate will also be
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, PhD, at Carnegie Mellon University is seeking a postdoctoral associate to study sensory-guided behavior in mice. The Hong Lab (www.thehonglab.com ) studies neural mechanisms underlying tactile and multi
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Mellon University is looking for a talented postdoctoral associate to interrogate the circuit dynamics underlying motivated behavior. We are looking to explore the electrophysiological properties of neural
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the Department of Chemistry at Carnegie Mellon University is seeking a postdoctoral researcher to work on projects related to bioaccumulation, biomonitoring, and high-resolution mass spectrometry (HRMS) analysis
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laboratory in the Social and Decision Sciences Department at Carnegie Mellon University is accepting applications for a teaching/research postdoctoral fellowship. This position is designed for scholars who
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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(1450-1800) or book history Experience with historical bibliography or archival research Familiarity with computer vision for document analysis Multilingual reading ability (e.g., English, Latin, French