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Postdoc Research Associate - Machine Learning/NLP for PEM Fuel Cell & Electrolyzer Materials Develop
, chemical engineering, electrochemistry, materials science, or a closely related field completed within the last 5 years with a focus on machine learning and/or natural language processing. Preferred
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electrocatalysts, measuring electrochemistry of CO2 reduction, and conducting in situ measurements (atomic force microscopy) for mechanistic understanding of degradation. The postdoc will work in close collaboration
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electrochemistry or electrochemical systems Experience with electron tomography Familiarity with coding for data analysis in languages such as Python, Matlab, etc. Excellent written and oral communication skills
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electrochemistry and advanced characterizations to advance the scientific understanding. Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork