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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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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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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
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(3) letters of recommendation. Purpose The postdoc fellow will work with the faculty supervisor in the Mineral Physics Group on the project. The scientific responsibility of the postdoc fellow is to
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) to obtain data for analysis. Assist EPIC staff and clients with Institutional Review Board process and documentation. Conduct quantitative research (e.g., survey design, descriptive statistics, inferential
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. Background in computational science and multi-physics modeling, including computational fluid dynamics (CFD) and multibody dynamics. Strong experience of scientific computational software development including
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+ depending on qualifications Working Conditions May work around chemical fumes May work in standard office conditions May work around mechanical hazards (high-pressure fluids and high-stress solids) Physics
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Fellow reports to Dr. Maria Croyle in the College of Pharmacy to facilitate a funded research project to evaluate the physical and biochemical properties of materials that sustain the viability of primary
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process. Purpose The Meyers Lab and UT Center for Pandemic Decision Science at The University of Texas at Austin are immediately seeking outstanding postdoctoral scholars to contribute to modeling