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13 postdoc-in-postdoc-in-automation-and-control Fellowship positions at Indiana University
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working experience with healthcare data (e.g., EHR, clinical text, imaging, omics). Proficiency in Python and ML tooling (e.g., PyTorch, scikit-learn), version control (Git), and experiment tracking (e.g
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properties of controlled mixed lanthanide species. This research is largely experimental but is done in close collaboration with two theory groups. Responsibilities: Oversee the day-to-day operations on
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. These departments possess a strong track record in NIH-funded research as well as extramural research funding from the Agency for Healthcare Research and Quality (AHRQ), the Centers for Disease Control and Prevention
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