61 physics-engineer-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at Argonne
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backgrounds such as engineering, computer science, statistics, and economics. Familiarity with energy technologies and associated supply chain risk and challenges. Familiarity with the application of statistics
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computational scientists, economists, engineers, and other researchers to develop data-driven, decision-relevant analytical tools for complex industrial systems. Key Responsibilities: Develop, improve, and apply
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or soon-to-be-completed PhD (typically completed within the last 0-5 years) in chemistry, chemical engineering or materials science (those with other degrees but have similar skills to those listed will be
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for autonomous control. Position Requirements Ph.D. completed in the past 5 years or soon-to-be completed in chemistry, chemical engineering, materials science, or a closely related field. The applicant should
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ionomer materials. Position Requirements Ph.D. completed in the past 5 years or soon-to-be-completed in chemistry, chemical engineering, materials science, or a closely related field. Strong background in
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) in Physics, Materials Science or Chemistry. 1. Demonstrated ability to conduct independent research in the exploratory synthesis and crystal growth of novel quantum materials using techniques such as
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The Environmental Science Division at Argonne National Laboratory seeks a highly motivated postdoctoral researcher to advance the understanding and prediction of severe weather using both physics
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. The successful candidate will be a key member of a multidisciplinary research team between Materials Science Division and High Energy Physics Division at Argonne National Laboratory and work closely with
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experience Strong background in atmospheric dynamics, turbulence, land–atmosphere interactions, cloud physics, or precipitation processes Experience working with large observational or model datasets
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, distributed systems, or large-scale data pipelines Experience with game engines, XR systems, or advanced graphics frameworks applied to scientific data Record of publications in visualization, AI