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will contribute to projects focused on developing advanced machine learning models to quantify phenotypic traits of crops, including corn, soybean, and other selected species. These models will leverage
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on developing advanced machine learning models to quantify phenotypic traits of crops, including corn, soybean, and other selected species. These models will leverage data collected from various sources, such as
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, metabolomics, clinical samples, and animal models to accomplish these goals. The results will lead to the development of novel therapeutic strategies for the clinically relevant molecular subsets of lung cancer
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to transcriptomics Extract, analyze, and evaluate experimental data Develop and establish research controls and standards, including animal models (mouse) Plan and write manuscripts, articles, abstracts, and research
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. These faculty will have earned a doctorate (PhD), Doctor of Medicine (MD) or other terminal degree in the relevant field of study. Their primary career focus centers on research, service, and teaching. Tenure
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field of study or possession of equivalent experience. Additional Information: We invite applications from accomplished physician-scientists or PhD scientists with expertise in spatial pathology and cancer