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    <title>RNA Canada ARN upcoming events</title>
    <link>https://rnacanada.wildapricot.org/widget/Events</link>
    <description>RNA Canada ARN upcoming events</description>
    <dc:creator>RNA Canada ARN</dc:creator>
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    <pubDate>Thu, 28 May 2026 01:40:17 GMT</pubDate>
    <lastBuildDate>Thu, 28 May 2026 01:40:17 GMT</lastBuildDate>
    <item>
      <pubDate>Thu, 09 Jul 2026 16:00:00 GMT</pubDate>
      <title>Python for Bioinformatics: Machine Learning for RNA biology (9 Jul 2026)</title>
      <description>&lt;h2&gt;&lt;strong data-start="4" data-end="39"&gt;&lt;img src="https://rnacanada.wildapricot.org/widget/resources/Pictures/Event%20Workshop.jpg" alt="" title="" border="0"&gt;&lt;br&gt;&lt;/strong&gt;&lt;/h2&gt;

&lt;h2&gt;&lt;strong data-start="4" data-end="39"&gt;Python for Bioinformatics:&lt;br&gt;&lt;/strong&gt;&lt;strong data-start="42" data-end="94" style="font-size: 18px;"&gt;&lt;strong data-start="170" data-end="184" style="text-transform: uppercase; font-size: 16px;"&gt;&lt;strong data-start="101" data-end="161"&gt;Machine Learning for RNA biology&lt;/strong&gt;&lt;/strong&gt;&lt;/strong&gt;&lt;/h2&gt;&lt;strong style="font-size: 18px;"&gt;Thursdays, July 9–23, 2026, from 12:00 PM to 3:00 PM EST (3 sessions)&lt;/strong&gt;

&lt;p style="font-size: 18px;"&gt;&lt;strong data-start="170" data-end="184"&gt;&lt;font color="#00AEEF" style="font-size: 16px;"&gt;Description:&lt;/font&gt;&lt;/strong&gt;&lt;/p&gt;

&lt;p style=""&gt;&lt;span style="background-color: rgb(255, 255, 255);"&gt;&lt;font color="#1F1F1F" face="Roboto, Arial, sans-serif" style="font-size: 18px;"&gt;RNA biology has become an increasingly data-rich and high-dimensional field, creating a growing need for computational and machine-learning approaches to extract biological insight from large-scale datasets. Machine learning (ML) provides a powerful set of tools for learning patterns from high-dimensional biological data, enabling both predictive modelling and the generation of biologically meaningful hypotheses. In this workshop, participants will gain a solid foundation in machine learning theory and its applications to RNA biology. Participants will be introduced to the core concepts underlying machine learning and deep learning. The course will combine conceptual understanding with hands-on practice, guiding participants through an end-to-end workflow. Covered topics include how to retrieve data from online resources, automate repetitive collection tasks, prepare datasets for machine learning, build machine learning models and evaluate their performance, and explore how pretrained RNA encoders generate embeddings that can be used for downstream bioinformatics tasks.&lt;/font&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style=""&gt;&lt;span style="background-color: rgb(255, 255, 255);"&gt;&lt;font color="#1F1F1F" face="Roboto, Arial, sans-serif" style="font-size: 18px;"&gt;&lt;strong&gt;Dates and Times&lt;/strong&gt;&lt;/font&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style=""&gt;&lt;span style="background-color: rgb(255, 255, 255);"&gt;&lt;font color="#1F1F1F" face="Roboto, Arial, sans-serif" style="font-size: 18px;"&gt;Noon to 3:00 pm EST on the following days:&lt;/font&gt;&lt;/span&gt;&lt;/p&gt;

&lt;ul&gt;
  &lt;li&gt;&lt;span style="background-color: rgb(255, 255, 255);"&gt;&lt;font color="#1F1F1F" face="Roboto, Arial, sans-serif" style="font-size: 18px;"&gt;&lt;strong&gt;Thursday, July 9:&amp;nbsp;&lt;/strong&gt;Data Mining, Information Retrieval &amp;amp; Web Automation for Bioinformatics&lt;/font&gt;&lt;/span&gt;&lt;/li&gt;

  &lt;li&gt;&lt;span style="background-color: rgb(255, 255, 255);"&gt;&lt;font color="#1F1F1F" face="Roboto, Arial, sans-serif" style="font-size: 18px;"&gt;&lt;strong&gt;Thursday, July 16:&amp;nbsp;&lt;/strong&gt;Machine Learning, Statistics, and RNA Data Analysis&lt;/font&gt;&lt;/span&gt;&lt;/li&gt;

  &lt;li&gt;&lt;span style="background-color: rgb(255, 255, 255);"&gt;&lt;font color="#1F1F1F" face="Roboto, Arial, sans-serif" style="font-size: 18px;"&gt;&lt;strong&gt;Thursday, July 23:&amp;nbsp;&lt;/strong&gt;Deep Learning for RNA — Transfer Learning with RNA Foundation Models&lt;/font&gt;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;

&lt;p style=""&gt;&lt;span style="background-color: rgb(255, 255, 255);"&gt;&lt;font color="#1F1F1F" face="Roboto, Arial, sans-serif" style="font-size: 18px;"&gt;&lt;strong&gt;Prerequisites&lt;/strong&gt;&lt;/font&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style=""&gt;&lt;span style="background-color: rgb(255, 255, 255);"&gt;&lt;font color="#1F1F1F" face="Roboto, Arial, sans-serif" style="font-size: 18px;"&gt;Participants are expected to have a basic working knowledge of Python and prior experience with introductory data analysis, such as attending prior RNA Canada workshops &lt;strong&gt;&lt;em&gt;“Introduction to Python: Sequence-to-Function Analysis for RNA”&lt;/em&gt;&lt;/strong&gt; or “&lt;strong&gt;&lt;em&gt;Python for Bioinformatics: Computational Analysis and Modelling of RNA Structure”.&lt;/em&gt;&lt;/strong&gt;&lt;/font&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p data-start="781" data-end="843" style="font-size: 18px;"&gt;&lt;strong&gt;More details here:&lt;/strong&gt;&lt;/p&gt;&lt;a href="https://www.rnacanada.ca/etn/python-for-bioinformatics-machine-learning-for-rna-biology/" target="_blank"&gt;https://www.rnacanada.ca/etn/python-for-bioinformatics-machine-learning-for-rna-biology/&lt;/a&gt;

&lt;p style="color: rgb(51, 51, 51); background: rgb(245, 245, 220); padding: 10px; border-radius: 5px; font-size: 16px;"&gt;&lt;strong style="color: #00AEEF;"&gt;This event is free for RNA Canada ARN Members!&lt;/strong&gt;&lt;br&gt;
Not a member yet? &lt;a href="https://www.rnacanada.ca/members/" style="color: #0073aa; text-decoration: none; font-weight: bold;"&gt;Join here&lt;/a&gt; to access exclusive events and benefits.&lt;/p&gt;</description>
      <link>https://rnacanada.wildapricot.org/widget/event-6699979</link>
      <guid>https://rnacanada.wildapricot.org/widget/event-6699979</guid>
      <dc:creator />
    </item>
    <item>
      <pubDate>Thu, 16 Jul 2026 16:00:00 GMT</pubDate>
      <title>Python for Bioinformatics: Machine Learning for RNA biology (16 Jul 2026)</title>
      <description>&lt;h2&gt;&lt;strong data-start="4" data-end="39"&gt;&lt;img src="https://rnacanada.wildapricot.org/widget/resources/Pictures/Event%20Workshop.jpg" alt="" title="" border="0"&gt;&lt;br&gt;&lt;/strong&gt;&lt;/h2&gt;

&lt;h2&gt;&lt;strong data-start="4" data-end="39"&gt;Python for Bioinformatics:&lt;br&gt;&lt;/strong&gt;&lt;strong data-start="42" data-end="94" style="font-size: 18px;"&gt;&lt;strong data-start="170" data-end="184" style="text-transform: uppercase; font-size: 16px;"&gt;&lt;strong data-start="101" data-end="161"&gt;Machine Learning for RNA biology&lt;/strong&gt;&lt;/strong&gt;&lt;/strong&gt;&lt;/h2&gt;&lt;strong style="font-size: 18px;"&gt;Thursdays, July 9–23, 2026, from 12:00 PM to 3:00 PM EST (3 sessions)&lt;/strong&gt;

&lt;p style="font-size: 18px;"&gt;&lt;strong data-start="170" data-end="184"&gt;&lt;font color="#00AEEF" style="font-size: 16px;"&gt;Description:&lt;/font&gt;&lt;/strong&gt;&lt;/p&gt;

&lt;p style=""&gt;&lt;span style="background-color: rgb(255, 255, 255);"&gt;&lt;font color="#1F1F1F" face="Roboto, Arial, sans-serif" style="font-size: 18px;"&gt;RNA biology has become an increasingly data-rich and high-dimensional field, creating a growing need for computational and machine-learning approaches to extract biological insight from large-scale datasets. Machine learning (ML) provides a powerful set of tools for learning patterns from high-dimensional biological data, enabling both predictive modelling and the generation of biologically meaningful hypotheses. In this workshop, participants will gain a solid foundation in machine learning theory and its applications to RNA biology. Participants will be introduced to the core concepts underlying machine learning and deep learning. The course will combine conceptual understanding with hands-on practice, guiding participants through an end-to-end workflow. Covered topics include how to retrieve data from online resources, automate repetitive collection tasks, prepare datasets for machine learning, build machine learning models and evaluate their performance, and explore how pretrained RNA encoders generate embeddings that can be used for downstream bioinformatics tasks.&lt;/font&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style=""&gt;&lt;span style="background-color: rgb(255, 255, 255);"&gt;&lt;font color="#1F1F1F" face="Roboto, Arial, sans-serif" style="font-size: 18px;"&gt;&lt;strong&gt;Dates and Times&lt;/strong&gt;&lt;/font&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style=""&gt;&lt;span style="background-color: rgb(255, 255, 255);"&gt;&lt;font color="#1F1F1F" face="Roboto, Arial, sans-serif" style="font-size: 18px;"&gt;Noon to 3:00 pm EST on the following days:&lt;/font&gt;&lt;/span&gt;&lt;/p&gt;

&lt;ul&gt;
  &lt;li&gt;&lt;span style="background-color: rgb(255, 255, 255);"&gt;&lt;font color="#1F1F1F" face="Roboto, Arial, sans-serif" style="font-size: 18px;"&gt;&lt;strong&gt;Thursday, July 9:&amp;nbsp;&lt;/strong&gt;Data Mining, Information Retrieval &amp;amp; Web Automation for Bioinformatics&lt;/font&gt;&lt;/span&gt;&lt;/li&gt;

  &lt;li&gt;&lt;span style="background-color: rgb(255, 255, 255);"&gt;&lt;font color="#1F1F1F" face="Roboto, Arial, sans-serif" style="font-size: 18px;"&gt;&lt;strong&gt;Thursday, July 16:&amp;nbsp;&lt;/strong&gt;Machine Learning, Statistics, and RNA Data Analysis&lt;/font&gt;&lt;/span&gt;&lt;/li&gt;

  &lt;li&gt;&lt;span style="background-color: rgb(255, 255, 255);"&gt;&lt;font color="#1F1F1F" face="Roboto, Arial, sans-serif" style="font-size: 18px;"&gt;&lt;strong&gt;Thursday, July 23:&amp;nbsp;&lt;/strong&gt;Deep Learning for RNA — Transfer Learning with RNA Foundation Models&lt;/font&gt;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;

&lt;p style=""&gt;&lt;span style="background-color: rgb(255, 255, 255);"&gt;&lt;font color="#1F1F1F" face="Roboto, Arial, sans-serif" style="font-size: 18px;"&gt;&lt;strong&gt;Prerequisites&lt;/strong&gt;&lt;/font&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style=""&gt;&lt;span style="background-color: rgb(255, 255, 255);"&gt;&lt;font color="#1F1F1F" face="Roboto, Arial, sans-serif" style="font-size: 18px;"&gt;Participants are expected to have a basic working knowledge of Python and prior experience with introductory data analysis, such as attending prior RNA Canada workshops &lt;strong&gt;&lt;em&gt;“Introduction to Python: Sequence-to-Function Analysis for RNA”&lt;/em&gt;&lt;/strong&gt; or “&lt;strong&gt;&lt;em&gt;Python for Bioinformatics: Computational Analysis and Modelling of RNA Structure”.&lt;/em&gt;&lt;/strong&gt;&lt;/font&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p data-start="781" data-end="843" style="font-size: 18px;"&gt;&lt;strong&gt;More details here:&lt;/strong&gt;&lt;/p&gt;&lt;a href="https://www.rnacanada.ca/etn/python-for-bioinformatics-machine-learning-for-rna-biology/" target="_blank"&gt;https://www.rnacanada.ca/etn/python-for-bioinformatics-machine-learning-for-rna-biology/&lt;/a&gt;

&lt;p style="color: rgb(51, 51, 51); background: rgb(245, 245, 220); padding: 10px; border-radius: 5px; font-size: 16px;"&gt;&lt;strong style="color: #00AEEF;"&gt;This event is free for RNA Canada ARN Members!&lt;/strong&gt;&lt;br&gt;
Not a member yet? &lt;a href="https://www.rnacanada.ca/members/" style="color: #0073aa; text-decoration: none; font-weight: bold;"&gt;Join here&lt;/a&gt; to access exclusive events and benefits.&lt;/p&gt;</description>
      <link>https://rnacanada.wildapricot.org/widget/event-6699979</link>
      <guid>https://rnacanada.wildapricot.org/widget/event-6699979</guid>
      <dc:creator />
    </item>
    <item>
      <pubDate>Thu, 23 Jul 2026 16:00:00 GMT</pubDate>
      <title>Python for Bioinformatics: Machine Learning for RNA biology (23 Jul 2026)</title>
      <description>&lt;h2&gt;&lt;strong data-start="4" data-end="39"&gt;&lt;img src="https://rnacanada.wildapricot.org/widget/resources/Pictures/Event%20Workshop.jpg" alt="" title="" border="0"&gt;&lt;br&gt;&lt;/strong&gt;&lt;/h2&gt;

&lt;h2&gt;&lt;strong data-start="4" data-end="39"&gt;Python for Bioinformatics:&lt;br&gt;&lt;/strong&gt;&lt;strong data-start="42" data-end="94" style="font-size: 18px;"&gt;&lt;strong data-start="170" data-end="184" style="text-transform: uppercase; font-size: 16px;"&gt;&lt;strong data-start="101" data-end="161"&gt;Machine Learning for RNA biology&lt;/strong&gt;&lt;/strong&gt;&lt;/strong&gt;&lt;/h2&gt;&lt;strong style="font-size: 18px;"&gt;Thursdays, July 9–23, 2026, from 12:00 PM to 3:00 PM EST (3 sessions)&lt;/strong&gt;

&lt;p style="font-size: 18px;"&gt;&lt;strong data-start="170" data-end="184"&gt;&lt;font color="#00AEEF" style="font-size: 16px;"&gt;Description:&lt;/font&gt;&lt;/strong&gt;&lt;/p&gt;

&lt;p style=""&gt;&lt;span style="background-color: rgb(255, 255, 255);"&gt;&lt;font color="#1F1F1F" face="Roboto, Arial, sans-serif" style="font-size: 18px;"&gt;RNA biology has become an increasingly data-rich and high-dimensional field, creating a growing need for computational and machine-learning approaches to extract biological insight from large-scale datasets. Machine learning (ML) provides a powerful set of tools for learning patterns from high-dimensional biological data, enabling both predictive modelling and the generation of biologically meaningful hypotheses. In this workshop, participants will gain a solid foundation in machine learning theory and its applications to RNA biology. Participants will be introduced to the core concepts underlying machine learning and deep learning. The course will combine conceptual understanding with hands-on practice, guiding participants through an end-to-end workflow. Covered topics include how to retrieve data from online resources, automate repetitive collection tasks, prepare datasets for machine learning, build machine learning models and evaluate their performance, and explore how pretrained RNA encoders generate embeddings that can be used for downstream bioinformatics tasks.&lt;/font&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style=""&gt;&lt;span style="background-color: rgb(255, 255, 255);"&gt;&lt;font color="#1F1F1F" face="Roboto, Arial, sans-serif" style="font-size: 18px;"&gt;&lt;strong&gt;Dates and Times&lt;/strong&gt;&lt;/font&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style=""&gt;&lt;span style="background-color: rgb(255, 255, 255);"&gt;&lt;font color="#1F1F1F" face="Roboto, Arial, sans-serif" style="font-size: 18px;"&gt;Noon to 3:00 pm EST on the following days:&lt;/font&gt;&lt;/span&gt;&lt;/p&gt;

&lt;ul&gt;
  &lt;li&gt;&lt;span style="background-color: rgb(255, 255, 255);"&gt;&lt;font color="#1F1F1F" face="Roboto, Arial, sans-serif" style="font-size: 18px;"&gt;&lt;strong&gt;Thursday, July 9:&amp;nbsp;&lt;/strong&gt;Data Mining, Information Retrieval &amp;amp; Web Automation for Bioinformatics&lt;/font&gt;&lt;/span&gt;&lt;/li&gt;

  &lt;li&gt;&lt;span style="background-color: rgb(255, 255, 255);"&gt;&lt;font color="#1F1F1F" face="Roboto, Arial, sans-serif" style="font-size: 18px;"&gt;&lt;strong&gt;Thursday, July 16:&amp;nbsp;&lt;/strong&gt;Machine Learning, Statistics, and RNA Data Analysis&lt;/font&gt;&lt;/span&gt;&lt;/li&gt;

  &lt;li&gt;&lt;span style="background-color: rgb(255, 255, 255);"&gt;&lt;font color="#1F1F1F" face="Roboto, Arial, sans-serif" style="font-size: 18px;"&gt;&lt;strong&gt;Thursday, July 23:&amp;nbsp;&lt;/strong&gt;Deep Learning for RNA — Transfer Learning with RNA Foundation Models&lt;/font&gt;&lt;/span&gt;&lt;/li&gt;
&lt;/ul&gt;

&lt;p style=""&gt;&lt;span style="background-color: rgb(255, 255, 255);"&gt;&lt;font color="#1F1F1F" face="Roboto, Arial, sans-serif" style="font-size: 18px;"&gt;&lt;strong&gt;Prerequisites&lt;/strong&gt;&lt;/font&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p style=""&gt;&lt;span style="background-color: rgb(255, 255, 255);"&gt;&lt;font color="#1F1F1F" face="Roboto, Arial, sans-serif" style="font-size: 18px;"&gt;Participants are expected to have a basic working knowledge of Python and prior experience with introductory data analysis, such as attending prior RNA Canada workshops &lt;strong&gt;&lt;em&gt;“Introduction to Python: Sequence-to-Function Analysis for RNA”&lt;/em&gt;&lt;/strong&gt; or “&lt;strong&gt;&lt;em&gt;Python for Bioinformatics: Computational Analysis and Modelling of RNA Structure”.&lt;/em&gt;&lt;/strong&gt;&lt;/font&gt;&lt;/span&gt;&lt;/p&gt;

&lt;p data-start="781" data-end="843" style="font-size: 18px;"&gt;&lt;strong&gt;More details here:&lt;/strong&gt;&lt;/p&gt;&lt;a href="https://www.rnacanada.ca/etn/python-for-bioinformatics-machine-learning-for-rna-biology/" target="_blank"&gt;https://www.rnacanada.ca/etn/python-for-bioinformatics-machine-learning-for-rna-biology/&lt;/a&gt;

&lt;p style="color: rgb(51, 51, 51); background: rgb(245, 245, 220); padding: 10px; border-radius: 5px; font-size: 16px;"&gt;&lt;strong style="color: #00AEEF;"&gt;This event is free for RNA Canada ARN Members!&lt;/strong&gt;&lt;br&gt;
Not a member yet? &lt;a href="https://www.rnacanada.ca/members/" style="color: #0073aa; text-decoration: none; font-weight: bold;"&gt;Join here&lt;/a&gt; to access exclusive events and benefits.&lt;/p&gt;</description>
      <link>https://rnacanada.wildapricot.org/widget/event-6699979</link>
      <guid>https://rnacanada.wildapricot.org/widget/event-6699979</guid>
      <dc:creator />
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