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Research Computing offers a wide variety of educational resources including virtual or in-person workshops and training sessions, hosted virtual “office hours,” online training materials and user documentation. Below are some examples of the training provided to the community.

  • Beginner’s Guide to Research Computing.

  • How to Use the Linux Shell.

  • Simplifying Data Transfers with Globus.

  • Python: Applications and Uses in Research Computing.

  • Introduction to R for Research Computing.

  • Accelerating Research with GPUs .

  • Applications and Uses of Matlab.

  • Python: Deep Learning.

  • Python: Machine Learning.

  • Advanced Computing Techniques.

  • Software Carpentry Lessons.

For an updated list of Research Computing workshops and useful resources, visit their documentation site.

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