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refrigeration. Experience with microwave electronics. Experience processing van der Waals materials and heterostructures. Strong programming and data visualization skills. A strong record of productive and
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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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, 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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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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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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understanding of experimental design, test planning, and data interpretation for polymer composite manufacturing processes, including the ability to translate modeling results into validation experiments and
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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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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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, 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