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(predoctoral) or PhD (postdoctoral) in Materials Science, Chemistry, Physics, or related area is required. Coursework in computer science or data science is desirable. Familiarity with research data management
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become part of a new holotomography software package actively being developed by the team. Position Requirements Required Knowledge, Skills, and Experience: PhD (recently completed or soon-to-be completed
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fabrication, including mask design, metal sputtering, laser or e-beam lithography, etching, and device integration Familiarity with thin-film materials (e.g., oxides, dielectrics, metals) and their integration
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through the design and synthesis of nanoscale epitaxial oxide thin films. This position supports a three-year Laboratory Directed Research and Development (LDRD) project focused on developing scalable
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characterization, computational modeling, and artificial intelligence across multiple academic and national laboratories. Key Responsibilities Design and execute S/TEM imaging and spectroscopy, including in situ
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-based (in planta) expression systems. Membrane proteins production and purification Strong molecular biology skills (cloning, vector design, transformation), protein purification and analysis, and
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computer-aided design software. Collaborative skills, including the ability to work well with other divisions, laboratories, and universities. Ability to demonstrate strong written and oral
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for the conceptual framework, design, and implementation of these machine learning models, ensuring trustworthy computations and scalability on the DOE’s leadership computing facilities. The focus will be
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teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment
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optimization of hydropower systems and their integration with broader electricity markets. Conduct research on electricity system operations, planning, and market design, including evaluation of economic and