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and Manipulation, and Inorganic facilities. The postdoc will create microarrays of metal-binding proteins and/or peptides and develop assays for metal binding. Based on genome-wide searches, candidate
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guidance from senior researchers. Design and execute fundamental experiments to understand energy landscapes, phase behavior, interfacial processes, and reaction pathways in multi-component systems. Design
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in materials or low temperature physics. Demonstrated knowledge of Python or another major programming language for data analysis and familiarity with machine learning approaches for data analysis
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National Laboratory is hiring a Sr Energy Researcher (Eng/Env Policy Researcher IV) within the Energy Analysis division. The Energy Markets and Planning (EMP) Department conducts analysis of topics centered
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development spanning areas such as optimization, Fourier analysis, numerical linear algebra, statistics, machine learning, and high-performance computing for one or more of the following: (1) reconstruction
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characterization tools (e.g., SEM, AFM, TEM, thermal analysis). Maintain rigorous experimental records and contribute high-quality datasets for internal collaboration. Communicate research results through peer
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scientists to integrate state-of-the-art AI with simulation and data analysis, including modern agentic approaches. Publish and present results in peer-reviewed venues. Examples of NESAP project themes
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for materials synthesis planning and automated solar data degradation pathway analysis based on literature data. You will support two DOE projects at 50% each. The first project is the DOE BES Data-Driven