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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 23 hours ago
governing research. Funding and publishing: Understanding the processes for securing grants and publishing findings in scientific journals. Skills Communication: Ability to communicate effectively through
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, material and energy balances, and process performance metrics Demonstrated ability to communicate well in a team environment Excellent written and oral communication skills Preferred Qualifications
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laboratory experiment design, equipment operation, or experimental system development. Ability to independently plan, conduct, troubleshoot, and document laboratory experiments. Strong written and oral
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, communication, and teamwork skills. Recommenders will be asked to submit a recommendation in Zintellect by Sunday, November 8. Letters of recommendation submitted via email will not be accepted and extensions
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, or corrosive chemicals on occasion. However, we will strictly adhere to best practices for the safe handling of these substances and will do everything in our power to mitigate their associated risks in
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literate to include ability to effectively utilize a computer and applicable software to create databases, perform statistical analyses, present data and perform other computer related tasks as directed by
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communication skills, the ability to work independently, and the ability to collaborate with researchers and partners from different disciplinary backgrounds. Excellent written and spoken English is required. Who
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electron-scale turbulence. Quantify the effects of electron beta and collisionality on core and pedestal transport, including comparisons between lithium-conditioned and non-lithium plasma conditions
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Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Post-Doctoral Scholar We are seeking a postdoctoral scholar to develop renewable polymers for adhesives, coatings, and
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Research Associate to develop, scale, and apply artificial intelligence (AI) and deep learning (DL) models for power grid systems. The successful candidate will contribute to scalable AI workflows for grid