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at Materials Engineering Research Facility (MERF) and collaborators inside and outside Argonne. The candidate is expected to design and conduct experiments, analyze data and explore mechanisms behind
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in spatial analysis and data visualization Computer programming skills relevant for data manipulation and analysis Experience with creating and using complex data-driven analytical models using R
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, and optimize for energy efficiency HPC applications and high performance data stream analytics workloads. Use of novel accelerator designs, and automatic methods to model/predict how performance would
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, modeling and analysis, integrating diverse data sets to identify global risks affecting sourcing strategies. In this role you will: Conduct and contribute to research and model development to enhance
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characterization of highly air-sensitive catalyst materials Experience with the design and construction of batch and flow reactors for catalysis Experience with analytical techniques such as nuclear magnetic
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information on the research activities in the Physics Division can be found at https://www.anl.gov/phy. Position Requirements Ph.D. in experimental nuclear, atomic physics, nuclear or analytical chemistry, or
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and Python) Knowledge of data analytics and statistical methods Demonstrated strong scientific writing skills and oral communication Ability to work both independently and collaboratively as a team
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collaboratively in a team environment. Demonstrated experience in interdisciplinary research. Proven problem-solving and analytical skills. Skilled communication skills, both oral and written at all levels
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. Familiarity with PSS/E. Ability to work effectively both independently and in a collaborative team environment. Problem-solving and analytical skills. Experience publishing in high-impact journals and assisting
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, computer science, or in a related field Strong programming skills in one or more scientific programming language, such as C++ and Python Experience with frameworks for data analytics and artificial