86 phd-computational-"FEMTO-ST"-"FEMTO-ST" positions at Brookhaven Lab in United States
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of the ATF to steward its unique science and technology user program. The AFD Director will directly support the Chair of the Accelerator Science and Technology (AS&T) Department to provide scientific
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for highly motivated postdoctoral researchers to conduct advanced electron microscopy studies on quantum materials for neuromorphic computing. The primary objective of this research is to explore quantum
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Knowledge, Skills, and Abilities: Requires a high school diploma or equivalent plus: A BS degree in a relevant technical field or Completion of the BNL CCI program, a technical institute or Adult BOCES
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, the Center for Functional Nano Materials, and the Atmospheric Radiation Measurement program. As a result, we have a lively, fast-growing data science research program at BNL, explicitly focusing
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deploying state-of-the-art information and computing systems in support of scientific research and business operations Providing a reliable and secure, high-speed network infrastructure for scientific and
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similar technical degree; or completion of US Navy, multi-year union, or similar technically accredited program leading to a recognized certificate or license for the operation and maintenance of high
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processing plant): PhD plus 5+ years of related, OR Master’s degree plus 6+ years of related experience, OR Bachelor’s degree plus 7+ years of related experience Experience with the procurement and
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with commonly used tools such as OPAL-RT/RTDS, PSS/E, PSCAD, EXata. • Knowledge of cybersecurity of industrial control systems and/or quantum computing. Additional Information: Candidates must have
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deploying state-of-the-art information and computing systems in support of scientific research and business operations Providing a reliable and secure, high-speed network infrastructure for scientific and
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Apply Now Job ID JR101943Date posted 08/06/2025 The mission of the Scientific Data & Computing Center (SDCC) at Brookhaven National Laboratory (BNL) is to provide computational support for BNL