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one of one of NIDA/FDA’s Tobacco Centers of Regulatory Science (TCORS) the Jordt lab provides a) strong mentoring and career resources in tobacco regulatory science, b) opportunities to network with
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key regulators of inflammation and tissue remodeling in gut and skin diseases. • Apply and refine AI/ML methods, including deep learning, neural networks, and interpretable models (e.g., SHAP, BioMapAI
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policies outlined by the Duke Office of Scientific Integrity. • Proficiency in Word, Excel, and Powerpoint is expected. Proficiency using additional software such as Graphpad/Prism, ImageJ, Imaris, R, and
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in cancer genomics, tumor microenvironment, single-cell data, spatial omics, immunology, gene regulatory networks, non-coding genome, genetic variants and functional genomics, is a plus. Excellent
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and the mentor. Ability to troubleshoot and run specialized experimental and analysis software independently with outside tutorials and mentor guidance. See job description for requirements. Minimum