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unified data framework for microbial carbon dioxide conversion, integrating data from methanogens, acetogens, and hybrid projects for standardization, kinetic/thermodynamic measurements, and predictive
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various data analysis tasks. Your work will focus on carrying out data preprocessing, data wrangling, and carrying out analyses using R (and sometimes Python). Example projects you will be working
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candidate will oversee crystallization screening workflows, diffraction data collection, data management infrastructure, and structure determination pipelines, while ensuring seamless service to our user
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