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Field
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independently but is expected to work well in a large collaborative team with researchers from NREL, academia, other national labs, and industry partners. The successful candidate will be able to: Work safely and
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. Some experience with data acquisition in large physics experiments. Familiarity with EPICS - accelerator control software. Experience with Particle-In-Cell codes. Demonstrated ability to communicate
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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occasional travel and a requirement to spend a few months a year at our secondary location, Riverside, California. We are seeking a postdoctoral candidate with experience in EEG data acquisition and analysis
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of design, computation, and robotics. ARG's research interests include topics such as robot learning, human-robot interaction, Generative AI, computer vision, closed-loop control, extended reality (XR), and
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and studying the phenological migration behavior of small insects using the terra-mobile platform on the Salter Research Farm. Analyze data and summarize results by writing scientific papers
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software development, and has leading roles in the ATLAS High Luminosity Large-Hadron Collider (HL-LHC) upgrade (Silicon Strip detector, Liquid Argon calorimeter, and Trigger & Data Acquisition). The group
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
Posting Information Posting Details Department Epidemiology - 463501 Posting Open Date 08/29/2025 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar Position Title
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generating, mobilising, and harvesting “big data” to create a dynamic and agnostic collection of information and deliver a new class of research that will enable a better understanding of the clinical
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generating, mobilising, and harvesting “big data” to create a dynamic and agnostic collection of information and deliver a new class of research that will enable a better understanding of the clinical