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  • PhD Research Assistantship for students with background of Scientific Machine Learning
    School of Chemical, Materials & Biomedical Engineering
    University of Georgia

    We are looking for PhD students with expertise in scientific machine learning, such as physics-informed machine learning or neural operators.   The students will work on solving biomedical challenges by combining clinical data with computational simulations using scientific machine-learning models. For more information, please contact he.li3@uga.edu.  PI's information can be found at https://cbme.engr.uga.edu/sample-page/


 


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