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to machine learning modeling on Alzheimer's disease. The candidate selected candidate will employ machine learning techniques with differential equations. Review of applications will begin immediately and
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establish a long-term riparian buffer near Hershey, PA. If you are interested in learning field and laboratory skills in a hands-on internship, this position is right for you. The second research project
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National Parks in California. Experience with machine learning techniques, R, and developing landscape metrics for representative wildlife species is needed. To be considered, please apply. The Pennsylvania
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Rheology and Processing of polymers. Responsibilities: The candidate will conduct advanced studies on the Rheology and Processing of polymers. The candidate will be helping Dr. Colby teach MatSE447 Rheology
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research projects combining high resolution imaging (PTAe microCT), machine learning (PyTorch), and wet lab techniques (histology) with potential inclusion of light sheet microscopy of mouse models