3 physics "University of Adelaide" Fellowship positions at University of Texas at Austin
-
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
-
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
-
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
Enter an email to receive alerts for physics "University of Adelaide" positions