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or heterogeneous catalysis of small molecule activation. Density functional theory applications to transition-metal containing molecular complexes. Hybrid quantum mechanics/molecular mechanics (QM/MM) methods
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: Previous experience as a teaching assistant supporting summer STEM programming at a Department of Energy National Laboratory Previous experience teaching or assisting in a formal (classroom) or informal (out
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collecting requirements from stakeholders, generating conceptual designs, implementation, and delivery to operations as maintainable systems new capabilities. · Work collaboratively on data-oriented software
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choices Contribute to technical documentation and present results at internal reviews and conferences Required Knowledge, Skills, and Abilities: PhD in Physics, Accelerator Physics, Nuclear Engineering, or
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complexity, increase platform standardization, and streamline the portfolio Experience with organizational change management methods and practices Ability to exercise independent judgment and discretion in
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supporting end-users of applied ML methods including interpretability/explainability (XAI), and reliability. The position provides access to world-class computing resources, such as the BNL Institutional
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rooms to allow their students to collaborate to complete the assignments and explore extensions of the hands-on labs. Ensure all their assigned students can get the QIS102 software development tools and
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year depending on performance and availability of funds. Candidates must have received a Ph.D. by the commencement of employment. BNL policy requires that after obtaining their PhD, eligible candidates
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, Skills, and Abilities: Requires a High School diploma, GED, or higher. 6-yrs total experience composed of 4-yrs apprenticeship plus 2-yrs experience, or 6-8 yrs. total experience composed of formal trade
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operations of equipment, components and piping systems for chemical plants or cryogenic process plants (for example, LNG, Air Separation, or any other cryogenic processing plant): PhD plus 5+ years of related