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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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results, and in the development of technical reports and presentations is required. Knowledge of the use of computers to design and control experiments and to analyze and interpret experimental data is
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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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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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., Python, Fortran, C++) Knowledge of data analysis techniques and statistical methods Proven scientific writing and oral communication skills Ability to work both independently and collaboratively in a team
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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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or biological systems. The candidate will work in a multidisciplinary team, including physicists, biologists, and engineers, and will lead the effort in multimodal data analysis at the APS beamlines. May be
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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
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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