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will involve various materials and electrical characterization methods (potentially including electrochemistry, multiple microscopy modalities, optical and IR spectroscopy, rheology) as well as surface
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machine learning with applications in science. The aim is to develop novel machine learning and other data driven AI methods for scaling up and improving scientific processes beyond what humans can do, for
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in-line gas-chromatography and mass-spectrometry. Synthesize heterogeneous catalysts by a variety of methods. Utilize relevant characterization techniques (e.g., electron microscopy, various
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