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in computational research Comprehensive understanding of quantum mechanics and electronic structure theory is critical Experience with CFD (e.g., the use of OpenFoam or ALDFoam) and microkinetic
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We are seeking a highly motivated Postdoctoral Researcher with expertise in computational biology, deep mutational scanning data, and generative artificial intelligence (AI). The successful
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/reactions, with increasing emphasis on using artificial intelligence and quantum information science. The group has access to extensive laboratory and national computational resources and has significant
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scientists, roboticists. The project will focus on developing an integrated autonomous lab system for strucutre-property characterization of novel materials heterostructures for quantum and microelectronics
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of advanced scanning/transmission electron microscopy (S/TEM) methods for cutting-edge scientific research in areas such as quantum materials and low-dimensional energy systems. This position emphasizes
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, collaborate with detector scientists and beamline teams, and lead forefront experiments that leverage the sub-eV to few-eV energy resolution and high quantum efficiency of TES arrays. Key Responsibilities
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The Materials Science Division at Argonne National Laboratory seeks to make a postdoctoral appointment for research in the area of thin films of quantum materials for microelectronics. The work will
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. Design, implement, and validate experimental setups; conduct synchrotron-based measurements on quantum and energy materials. Build robust data reduction and PDF analysis workflows; document best practices
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, transparent conducting oxides, clusters and quantum dots, and thin film characterization methods. Job Family Postdoctoral Job Profile Postdoctoral Appointee Worker Type Long-Term (Fixed Term) Time Type Full
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the domains of environmental, water, and energy system analysis. Prepares reports, papers, and presentations for conferences, workshops, and technical journals. Supports program development including