-
-dimensional variable selection, longitudinal and survival analysis, machine/deep learning, bioinformatics methods in -omics data are preferred. Demonstrated evidence of excellent programmin g, collaboration
-
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
-
to advancing understanding of brain circuitry. The laboratory currently has multiple collaborative R01 funded grants from NIMH and NIDA with Drs. Hearing, John Mantsch (Medical College of Wisconsin), and Robert
Searches related to postdoctoral deep learning
Enter an email to receive alerts for postdoctoral-deep-learning "Multiple" positions