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and emissions associated with energy systems, including sustainability of various energy products, services and chemicals. Position Requirements PhD degree in chemical engineering, mechanical
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and emissions associated with energy systems, including sustainability of various energy products, services and chemicals. Position Requirements PhD degree in chemical engineering, mechanical
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staff scientists with computational fluid dynamics (CFD) and artificial intelligence/machine learning (AI/ML) expertise, with the goal to enhance predictive capability and scalability of multi-scale and
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: This level of knowledge is typically achieved through a formal education in nuclear engineering or energy science, or a related field at the PhD level with zero to five years of employment experience
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Completed or soon-to-be completed PhD (within the last 0-5 years) in Computer Science, Physics, Mathematics, or related field Experience with modeling complex systems or natural language processing
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(MERF), the Nanocomposite Materials and Membrane Manufacturing group perform science-based membrane synthesis and scaleup development by using roll-to-roll manufacturing and machine learning enabled in
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measurements, searches for new physics, Higgs measurements, and performance studies. The Argonne group also has significant involvement in detector operations, TDAQ upgrades, Software and Computing, Machine
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in mentoring graduate and undergraduate students in related research projects. Position Requirements PhD in chemistry, materials science, chemical engineering, or a related field with 0 to 5 years
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typically achieved through a PhD degree with 0-5 years of experience or equivalent in separation science and radiochemistry. Job Family Postdoctoral Family Job Profile Postdoctoral Appointee Worker Type Long
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Teamwork Required Qualifications: PhD (received or expected to receive in the next six months) in organic, organometallic, inorganic chemistry, or related discipline, with zero to five years of experience in