MICDE Fellowships Information Session
Zoom EventApplications for the $4,500 2024-2025 MICDE Graduate Fellowships will open May 1, 2024. Please join this Zoom session to learn more about the fellowships and how to submit a great application!
Applications for the $4,500 2024-2025 MICDE Graduate Fellowships will open May 1, 2024. Please join this Zoom session to learn more about the fellowships and how to submit a great application!
The SciFM Summer School runs from July 8 to July 26. The first instance is going to be run in parallel at the University of Michigan (UM) and at Argonne […]
The educational programs represented are: PhD in Scientific Computing (MICDE) Graduate Certificate in Computational Discovery & Engineering (MICDE) Graduate Certificate in Computational Neuroscience (MICDE) Graduate Certificate in Data Science (MIDAS) […]
Large Eddy Simulation of Turbulent Cavitating Flows
The educational programs represented are: PhD in Scientific Computing (MICDE) Graduate Certificate in Computational Discovery & Engineering (MICDE) Graduate Certificate in Computational Neuroscience (MICDE) Graduate Certificate in Data Science (MIDAS) […]
Zoom link Abstract: Simulating complex physical systems often requires joining non-uniform subsystems, which may be characterized by different geometries or mesh topologies. Coupling these separate subsystems often relies on time-intensive […]
This year’s focus of the Advanced Computational Science & Engineering Showcase (ACES) mini-symposium is connecting advanced algorithms, artificial intelligence (AI), and high-performance computing (HPC) architectures to advance scientific discovery. The […]
Discovery of Cellular Reprogramming Methodology Through Single-cell Foundation Models
PhD in Scientific Computing director Eric Johnsen will speak about opportunities for undergraduate or master's students seeking a graduate education in Computation and Artificial Intelligence for Science and Engineering at the University of Michigan. Food will be provided. Please register to attend.
Global Geomagnetic Perturbation Forecasting with Quantified Uncertainty using Deep Gaussian Process