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This session builds on the Docker fundamentals introduced in the previous workshop and focuses on deploying containerized applications on an HPC cluster. Participants will explore advanced techniques for...

This workshop will introduce the UCLA research community to the application of diffusion models for medical imaging problems, with a focus on MRI. Participants will learn both the fundamentals of diffusion...

This workshop introduces core methods for generating high-quality meshes used in large-scale simulation, scientific computing, and computer graphics. We will explore how Voronoi tessellation and Delaunay...

The Third Annual DataX+IDRE ‘Research in the Age of AI’ Symposium will feature distinguished researchers from departments across UCLA to speak on the use, development, and impact of AI in research. This...

This workshop teaches the basics of the linear regression model, the foundation for most other regression models. Topics include understanding the model equation, continuous and categorical predictors...

The analysis of binary outcomes is widespread across scientific fields. This workshop introduces the basics of the most commonly used statistical model for binary outcomes, logistic regression. Some basic...