63 linked-data-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at Argonne
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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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, 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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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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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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Full time The expected hiring range for this position is $72,879.00-$121,465.00. Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be
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. This position will contribute to the Forge project, which is focused on developing advanced multimodal AI capabilities that can learn across distributed data environments without requiring sensitive data to be
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design and conduct experiments, interpret results, analyze data, and communicate findings through presentations at scientific conferences and publications in peer-reviewed journals. Key Responsibilities
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The researcher will work at the intersection of materials science, chemistry, data science, and laboratory automation to identify promising materials, guide experiments, and establish relationships
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observations, gather and analyze data, and effectively report results. The position requires hands-on laboratory work to develop and synthesize new organic materials and to develop, carry out and analyze results
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diverse data sets, including trade, political, economic, and social metrics to identify global risks that impact sourcing strategies essential for achieving economic and climate objectives. Key