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across materials science, chemistry, geoscience, energy technologies, and biology. Position Requirements This level of knowledge is typically achieved through a formal education in physics, applied physics
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years ) Ph.D. in Engineering, Operations, Computer Science, Mathematics or a related field. Knowledge of optimization, power systems operations and planning, electricity markets, issues surrounding
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, present at conferences, and contribute to data sets and code repositories. Position Requirements Required Skills, Knowledge and Experience: Ph.D. (received within the last 0–5 years or by start date) in
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. Position Requirements PhD completed in the past 5 years or soon-to-be completed in physics or related field. Strong knowledge of coherent imaging, light modulation, Fourier-domain signal processing, X-ray
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thin-film growth and characterization (oxides preferred), using sputtering (preferred), PLD, or MBE. Familiarity with synchrotron-based X-ray techniques and electron microscopy Knowledge of quantum
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. Willingness to learn basic domain-specific X-ray science and basic materials knowledge, and a strong passion for applying agentic AI to scientific discovery. Effective written and oral communications skills
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to comply with federal regulations and contract. This level of knowledge is typically achieved through a formal education in economics, operations research, public policy, environmental science, data science
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contribute to open-source code repositories and documentation. Position Requirements Required skills, knowledge and qualifications: PhD in physical oceanography, coastal engineering, computational science
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have access to state-of-the-art research facilities and gain in-depth knowledge of the research frontiers of in situ characterization of thin film deposition, heterogenous interfaces, and autonomous
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the laboratory. Preferred Knowledge, Skills, and Experience Experience with in-situ or operando measurements under electrical or thermal bias. Familiarity with multimodal data correlation or integration with