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optimization with computer-aided design software. Knowledge of machine learning (using TensorFlow, PyTorch, etc.) for multi-fidelity modeling, regression tasks, management and analysis of large datasets, and
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values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In
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teamwork, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne encourages
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The Applied Materials Division at Argonne National Laboratory has an immediate opening for a Postdoctoral Appointee. The candidate will be responsible for reviewing and developing design methods and
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. Major responsibilities include: Collaborating with an industry partner and other scientists at Argonne to design, fabricate, characterize, and optimize additively manufactured X-ray optics. Leading
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inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne encourages minorities, women, veterans and individuals with disabilities to apply
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diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne encourages minorities, women, veterans and individuals with
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is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne encourages minorities, women, veterans and
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approaches to solve challenges that go beyond the use of pilot scale or commercialized equipment. As such we are seeking candidates that have demonstrated the ability to design and build their own experimental
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experimental results is required: TEM and FIB/SEM. Knowledge of materials science principles, theories, advanced characterization techniques, and practices for the design, analysis, and testing of candidate