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differentiable programming and physics informed machine learning (Graph Neural Networks and Neural Operators) for solving inverse and optimization problems. Develop AI-accelerated numerical methods for identifying
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implementation and evaluation of the online Canvas course plug-in (e.g., analyzing quantitative and qualitative feedback from student users, preparing manuscripts about this process for teaching-focused outlets
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Professional References; at least one must be from a supervisor Important: You will be prompted to submit your Resume/CV in the first step of the online job application process. Then, any additional Required
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for predicting carbon cycle in permafrost. Conduct numerical experiments to explore the coupled physics that lead to permafrost melting and greenhouse gas emissions. Compile and analyze Arctic environmental data
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conferences. Required Qualifications Bachelor’s degree in Biomedical Engineering, Computer Science, Electrical Engineering, Physics, Biology, Neuroscience or related fields. Research interest in physiology and
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condensates in cancer signaling. Research in the Guan lab is at the interface of physics and biology (https://juanguanlab.wixsite.com/biophysics/). The team employs highly interdisciplinary approaches in cell