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design and conduct experiments, interpret results, analyze data, and communicate findings through presentations at scientific conferences and publications in peer-reviewed journals. Key Responsibilities
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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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-material production, and recycling; compile life-cycle inventories from scientific literature, technical reports, patents, public industrial information, supplier data, and other sources; translate chemical
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, analyze, and interpret experimental data to assess process performance, stability, and scale-up considerations Support development of process documentation, including test plans, operating procedures, and
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processes Implement models and perform numerical simulations Analyze and interpret simulation and experimental data Integrate AI tools and workflows to enhance modeling and accelerate learning Collaborate
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effectively within an interdisciplinary team of chemists, physicists, and materials scientists to accomplish research objectives. 4. Strong analytical and problem-solving skills, with the ability to interpret
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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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ideal for someone who enjoys working at the intersection of data science, machine learning, materials research, and experiment, and who is motivated to translate computational advances into real
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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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-based battery cells Hands-on experience with a range of laboratory instrumentation and characterization tools Strong ability to design and implement electrochemical experiments and interpret results