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Update webinar-series page October webinar
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add video link, move entry to past presentations
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juliebates authored Oct 28, 2024
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Expand Up @@ -99,11 +99,7 @@ <h3><strong>Upcoming Webinars</strong></h3>



<li><strong> Friday, October 4, 2024 at 2pm EDT </strong>
<ul>
<li>Special guest speaker <a href="https://childmind.org/bio/michael-p-milham-md-phd/"></strong>Mike Milham</a> (Child Mind Institute) discusses some of his very recent work with a presentation on <em>"Moving beyond processing- and analysis-related variation in resting-state functional brain imaging."</em> </li>
<li>Session will be recorded for those unable to attend, and both Slides and Video Presentation will be made available</li>
</ul>

<li><strong> Friday, November 1, 2024 at 2pm EDT</strong>
<ul>
<li> We welcome <a href="https://cris.maastrichtuniversity.nl/en/persons/stefano-moia">Stefano Moia</a> (Maastricht University, Netherlands) for an introduction to the <a href="https://physiopy.github.io/">PhysioPy</a> project. </li>
Expand Down Expand Up @@ -139,6 +135,12 @@ <h3><strong>Upcoming Webinars</strong></h3>
<h3><strong>Webinar Presentations to Date</strong></h3>
<p>
<ul>
<li><strong> Friday, October 4, 2024 at 2pm EDT </strong>
<ul>
<li>Special guest speaker <a href="https://childmind.org/bio/michael-p-milham-md-phd/"></strong>Mike Milham</a> (Child Mind Institute) discusses some of his very recent work with a presentation on <em>"Moving beyond processing- and analysis-related variation in resting-state functional brain imaging."</em> </li>
<li><a href="https://youtu.be/d_xHVSW8oZQ"> Video Presentation</a> is now available</li>
</ul>

<li><strong> Friday, September 6, 2024 at 2pm EDT</strong>
<ul>
<li>We are excited to kick off the new academic year with special guest speaker <a href="https://biosciences.lbl.gov/profiles/chris-mungall/">Chris Mungall</a> ! Chris joins us from Berkeley National Lab & Univ. California, where he leads the Biosystems Data Science group. Chris has very considerable expertise in large systems-level computation modeling, systems biology, data science, reusable and interoperable software, machine learning and knowledge graphs, and shares his remarkable perspective with a presentation on <em>"Creating AI-ready datasets using LinkML and biomedical ontologies.</em></li>
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