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highly desirable but not required A strong understanding of the properties of materials used in MEMS and their compatibility with X-ray optics applications Expertise in testing, characterizing, and
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. The successful candidate will leverage fabrication capabilities available in the Center for Nanoscale Materials (CNM) to tailor the high-pressure sample environment in diamond anvil cells. To this end, two main
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machine learning. Exposure to scientific imaging applications (for example, biological, environmental, or materials science). Job Family Postdoctoral Job Profile Postdoctoral Appointee Worker Type Long-Term
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projects in artificial intelligence, materials engineering, chemistry, and beyond at Argonne National Laboratory. Position Requirements Recently completed PhD within the last 0-5 years in computer science
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Application Materials Curriculum Vitae (CV) Cover Letter describing research experience and fit for the role Contact information for three references to be sent to Kaitlin Raimondi at [email protected] Job Family
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, from nuclear physics and materials science to biology and advanced computer science. The Physics Division (PHY) at Argonne has a long and distinguished history in nuclear physics and currently has a
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visualization systems using realistic scientific data and simulations, including applications in cosmology, materials, fusion, environmental science, and light source data Collaborate closely with domain