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• Skilled in single-cell/population data analysis (e.g., GLMs, decoding) Preferred Qualifications • Background in machine learning or computational modeling (Bayesian methods, neural networks, etc
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. conducts literature searches for methods and procedures specified by the principal investigator; plans and develops assays to evaluate experimental methods and techniques. (15%)- Manage research results and
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development/application within earth ecosystem modeling; Developing/implementing KGML-engaged framework to refine crop land carbon budget estimates and improve management strategies across the U.S. Heartland
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acquiring and processing experimentally obtained MR data are desired. Duties • Design and build hardware for new MRI methods using frequency-swept techniques and multi-coil arrays (40%) • Develop software