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at Carnegie Mellon University invites applications for a postdoctoral researcher to lead projects at the interface of computational chemistry, machine learning, reaction mechanism elucidation, and automated
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. Establish reproducible protocols for longitudinal culture, functional testing, and data collection. Analyze optical, biological, and device-performance datasets using appropriate statistical and computational
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strong foundations in operations research/optimization modeling and econometric/statistical/ml analysis with a passion for applied problem solving. The work will involve large-scale data analysis and work
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, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In