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The ALCF has an opening for a postdoctoral position in AI-assisted scientific visualization and intelligent data exploration. The successful candidate will join the Visualization and Data Analytics
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, focused ion beam specimen preparation, and computer vision or machine-learning analysis of microscopy datasets. The position requires strong experimental, analytical, written, oral, and interpersonal
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with data analysis and technical documentation; and contributing to publications, reports, and sponsor deliverables. The successful candidate will work closely with staff researchers and technical teams
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-material production, and recycling; compile life-cycle inventories from scientific literature, technical reports, patents, public industrial information, supplier data, and other sources; translate chemical
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, and fission products through experimental testing and data analysis Prepare test plans and operating procedures, and contribute to technical documentation, reports, publications, and sponsor
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, detector operations, and/or upgrade activities Strong skills in scientific programming, software development, and data analysis Ability to work effectively in a collaborative, multidisciplinary research
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years) in field of Physics, Astronomy, or Quantum Engineering Considerable analytical skills are necessary to develop and improve techniques for data analysis Demonstrated problem-solving skills and
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modify laboratory procedures and protocols, develop experimental designs, run technical experiments, make detailed observations, gather and analyze data, and effectively report results. The position
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ideal for someone who enjoys working at the intersection of data science, machine learning, materials research, and experiment, and who is motivated to translate computational advances into real
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field Strong background in materials research for quantum information or sensing, preferably with practical experience. Proficiency in materials synthesis and fabrication, particularly with a focus on