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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
programming (e.g., C++ and/or Python) in a high-performance computing environment. Ability to carry out independent research and to work effectively in a collaborative team. Strong written and oral
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
research in perovskite solar cells and detectors development to achieve high performance and long stability with a long-term goal of commercializing the technology. The candidate will collaborate with
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Stanford Departments and Centers: PULSE Institute Postdoc Appointment Term: 1 year with renewals possible up to three years Appointment Start Date: ASAP Group or Departmental Website: http
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ecophysiological equipment, growth chamber and greenhouse facilities, as well as computational facilities both within the lab and through the University’s High Performance Computing Center. The Smith Ecophysiology
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-Direct the Responsible Conduct of Research (RCR) Program for postdocs Partner with the Center for Bioethics to deliver the RCR Program. Teach RCR sessions using cutting edge pedagogical techniques
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developing and running hydrologic and land model simulations and a working knowledge of high-performance computing environments. Specific responsibilities will involve the use of ATS-EcoSIM, a new version of
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 10 hours ago
success in developing the technologies that took on acid rain in the 1970s and mercury in the early 2000s. Program Goals The NETL Postdoctoral Research Fellowship Program (Postdoc) is a high-intensity
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, including vision-based monitoring where useful. Design safety interlocks, fault detection, and fail-safe routines for unattended operation of high-temperature and high-force equipment. Plan staged
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potentials or force fields (for example MACE, NequIP, DeePMD). ● Experience running scientific calculations on Linux-based high-performance computing clusters, including scripting or workflow automation
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priorities as needed, and efficiently execute project tasks. Identify and help solve methodological problems, including adjustments to experimental and computational protocols to ensure generation of high