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operation, feedstock pretreatment and characterization, analytical measurements by LC and GC; experimental design, statistical analysis, bioprocess simulation through kinetic modeling. Additional training in
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of Computing and Information Science under the direction of Principal Investigator Rene Kizilcec. The NTO is a collaboration among Cornell University, Carnegie Mellon University, and the Massachusetts Institute
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Debanjan Chowdhury. The Postdoctoral Associate will contribute to a research program focused on driven quantum systems and their applications to quantum information science, particularly in superconducting
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productivity (publications, presentations, software, system prototypes) Strong analytical and computational skills (e.g., Python, R; simulation or optimization tools) Experience working with real-world datasets
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simulation, including O/D modeling, multimodal network modeling, agent-based or behavioral modeling Large-scale computing, cloud-native analytics workflows, and data engineering for mobility platforms AI/ML