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. Proficiency in simulation tools used in analyzing vehicle energy consumption. Passion for and experience in data-driven modeling and analysis. Demonstrated ability to perform vehicle modelling and simulation as
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, presentation of results at conferences, and production of peer-reviewed publications. Position Requirements PhD in chemical engineering, chemistry, electrochemistry, materials science, or a related field
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materials. This position will primarily involve organic synthesis lab work and electrochemical testing and analysis of new materials. Previous experience with electrochemical analysis or battery testing is
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and scientific analysis. This position offers the opportunity to collaborate closely with experimental teams working in areas such as electrochemical characterization and synchrotron analysis, as
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and interpret experimental data and share research findings through scientific conferences and peer-reviewed publications. Key Responsibilities Conduct research on the distribution and behavior
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-throughput laboratory systems Proficiency in Python or similar programming languages for data processing, statistical analysis, and integration with AI/ML tools Excellent written and verbal communication
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work with a multidisciplinary team to advance agentic AI tools for simulation, interpretation, data analysis, and scientific discovery. The appointment is expected to last two years and the contract is
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work within a multidisciplinary team with researchers at MERF and collaborators inside and outside Argonne. The candidate is expected to design and conduct experiments, analyze data and explore
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of cathode operation and degradation, and identify pathways to improve the performance and safety of advanced electrochemical cells Analyze and interpret experimental data and communicate findings through
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extraction and analysis of sequencing-based omics data. Experience in bioreactor configuration, inline/online sensor integration, and PID-based process control; familiarity with bioreactor automation systems