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framework for driven and open quantum systems. Phenomenological modeling of dynamics/transport behaviors in complex systems, including strongly correlated electron systems. Experience in analyzing data from
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resources and demonstrated ability in applying numerical techniques to water-energy research. Strong candidates will have advanced knowledge and skills relevant to one or more of the following areas: River
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characterizations. Experience with user facilities. Data analysis of structural, electronic, magnetic, and topological properties. Work with others to maintain a high level of scientific productivity. Publish
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Computational/theoretical chemistry and/or physics, chemical engineering, materials or a closely related field completed within the last 5 years. Preferred Qualifications: Experience with coding, electronic
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, with the ability to work collaboratively in a team setting. Preferred Qualifications: Experience with AI-readiness pipelines, particularly in integrating scientific data with AI workflows. Familiarity
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of computational scientists, computer scientists, experimentalists, materials scientists, and conduct basic and applied research in support of the Laboratory’s mission. Engage with the broader community
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, fabrication, and testing of integrated photonic devices and circuits. Excellent written and oral communication skills Motivated self-starter with the ability to work independently and to participate creatively
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degree in physics or related discipline completed within the last five years. Preferred Qualifications: Experience with modern programming languages, particularly Python. Demonstrated ability
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purification of electrode or electrolyte systems and evaluation of their battery performance. The program will have a strong collaborative component with characterization (e.g. electron microscopy
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environmental science, environmental chemistry, civil/environmental engineering, biogeochemistry, biology or related discipline. Knowledge and experience in laboratory environment. Ability to articulate a