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to develop, synthesize, characterize and electrochemically evaluate next generation cathode materials for lithium-ion and sodium-ion batteries. Position Requirements Recent or soon-to-be-completed PhD
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analytical skills, and a creative, convergent approach to analysis. This position offers a unique opportunity to work at the forefront of energy and industrial systems modeling, contribute to multi
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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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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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of Energy projects. Position Requirements Recent or soon-to-be-completed PhD (typically completed within the last 0-5 years) in Electrical Engineering. Onsite presence is required. Solid foundation in