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The Argonne National Laboratory (ANL) High Energy Physics Division invites applications for a Postdoctoral Research Associate to work in the Energy Frontier (EF) group on ATLAS Software R&D and HEP
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The Postdoctoral Appointee will be part of an R&D group conducting use-inspired research supporting the development of process technologies for next-generation nuclear/chemical/electrochemical
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The Applied Materials Division, Process R&D and Scale up Group is seeking a postdoctoral candidate to conduct general research in material science and electrochemistry related to next generation
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completed Ph.D. within the last 5 years in Computational Biology, Bioinformatics, Machine Learning, Artificial Intelligence, Virology, or a related field Strong programming skills in Python, R, or Julia, with
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The Postdoctoral Appointee will be part of a R&D group conducting use-inspired research supporting the development of next-generation energy technologies such as nuclear fuel recycling and
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utilization; to minimize our dependence on imported energy; and to enhance our national security. A research and development position is now open in the Materials Recycling R&D Group. A post doc position is now
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. Familiarity with techno-economic analysis. Experience with scientific programming languages (e.g., R, Python, Java) and statistical software (e.g., Stata). Ability to create visualizations to effectively
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for metals production and processing. Prepare formal reports, makes presentations, and publish to establish leadership position in R&D for metallization. Position Requirements Recent or soon-to-be-completed
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The Postdoctoral Appointee will be part of an R&D group conducting use-inspired research supporting the development of technologies for nuclear separations at the nexus of nuclear energy and
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in soil processes, plant physiology, plant traits, and species composition Strong data analysis skills, including proficiency in R or Python coding, and/or machine learning techniques Excellent writing