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MSE Graduate Student Council

The official graduate student organization for MSE

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Information gathering

This website uses “cookies” (small text files stored on your computer) to analyze how visitors use the site. We may also use your IP address to help diagnose problems with our server and to administer the website by identifying (1) which parts of the site are most heavily used, and (2) which portion of our audience comes from within the UC Berkeley network. We do not link IP addresses to any personally identifiable information. This means that user sessions will be tracked, but the users will remain anonymous. You may refuse the use of cookies by selecting the appropriate settings on your browser, or by installing plugin software to disable tracking. However, please note that doing so may prevent you from enjoying the full functionality of this website.

Use of information

The managers of this site use the information gathered above to tailor site content to user needs, and to generate aggregate statistical reports. At no time do we disclose site usage by individual IP address.

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This site has security measures in place to protect the loss, misuse and alteration of the information under our control.

Contacting us

If you have any questions about this privacy statement, the practices of this site or your dealings with this site, you can contact:

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[Unit Name here]
University of California, Berkeley
Berkeley, California 94720
[Unit email address here]

This site contains links to other independently run websites within the Berkeley network and to some sites outside the berkeley.edu domain. The managers of this site are not responsible for the privacy practices or the content of such websites.

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Engineering events

    • Advances in Computational Workflow for Regional-Scale Earthquake Simulations with the EQSIM Framework - A San Francisco Bay Area Case Study

      March 20, 2023, 12–1 p.m.

    • The 110th Martin Meyerson Berkeley Faculty Research Lectures

      March 20, 2023, 4–5 p.m.

    • Dissertation Talk: Scalable Representations for Vision and Robotics

      March 21, 2023, 10–11 a.m.

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