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<p style="margin:0;padding:0;margin: 0; padding: 0; font-family: georgia; font-size: 10pt; overflow-wrap: break-word;"><span>Dear all,</span></p>
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<p style="margin:0;padding:0;margin: 0; padding: 0; font-family: arial; font-size: 10pt; overflow-wrap: break-word;" data-pm-slice="1 1 []"> </p>
<p style="margin:0;padding:0;margin: 0; padding: 0; font-family: arial; font-size: 10pt; overflow-wrap: break-word;" data-pm-slice="1 1 []"><span>we are offering a series of online training opportunities for biologists, bioinformaticians and computational researchers interested in applying Artificial Intelligence and Deep Learning to biological research.</span></p>
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<p style="margin:0;padding:0;margin: 0; padding: 0; font-family: arial; font-size: 10pt; overflow-wrap: break-word;"><span>The programme includes:</span></p>
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<p style="margin:0;padding:0;margin: 0; padding: 0; font-family: arial; font-size: 10pt; overflow-wrap: break-word;"><strong><span>1. Introduction to Deep Learning for Biologists</span></strong><br /><span>23–27 November 2026 | Online</span></p>
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<p style="margin:0;padding:0;margin: 0; padding: 0; font-family: arial; font-size: 10pt; overflow-wrap: break-word;"><span>A five-day practical course covering the foundations of deep learning, CNNs, classification, regression, image segmentation and applications to biological and -omics data.</span></p>
<p style="margin:0;padding:0;margin: 0; padding: 0; font-family: arial; font-size: 10pt; overflow-wrap: break-word;"><a href="https://www.physalia-courses.org/courses-workshops/course67/">https://www.physalia-courses.org/courses-workshops/course67/</a> </p>
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<p style="margin:0;padding:0;margin: 0; padding: 0; font-family: arial; font-size: 10pt; overflow-wrap: break-word;"><strong><span>2. Agentic AI for Life Sciences</span></strong><br /><span>3–4 December 2026 | Online</span></p>
<p style="margin:0;padding:0;margin: 0; padding: 0; font-family: arial; font-size: 10pt; overflow-wrap: break-word;"><span>A hands-on course introducing AI agents and their applications to research, including coding agents, data analysis, interactive data portals, RAG, MCP and reproducible research workflows.</span></p>
<p style="margin:0;padding:0;margin: 0; padding: 0; font-family: arial; font-size: 10pt; overflow-wrap: break-word;"><a href="https://www.physalia-courses.org/courses-workshops/agentic-ai/">https://www.physalia-courses.org/courses-workshops/agentic-ai/</a> </p>
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<p style="margin:0;padding:0;margin: 0; padding: 0; font-family: arial; font-size: 10pt; overflow-wrap: break-word;"><strong><span>3. Webinar: Programming Biology with Genome-scale AI</span></strong><br /><span>7 December 2026 | Online | 3–5 PM Berlin time</span></p>
<p style="margin:0;padding:0;margin: 0; padding: 0; font-family: arial; font-size: 10pt; overflow-wrap: break-word;"><span>Ben Fishman, PhD (Genomic Intelligence), will introduce DNA language models and genome-scale foundation models, exploring applications in gene regulation, variant interpretation, DNA design and programmable biology.</span></p>
<p style="margin:0;padding:0;margin: 0; padding: 0; font-family: arial; font-size: 10pt; overflow-wrap: break-word;"><a href="https://www.physalia-courses.org/courses-workshops/webinar-ai/">https://www.physalia-courses.org/courses-workshops/webinar-ai/</a> </p>
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<p style="margin:0;padding:0;margin: 0; padding: 0; font-family: arial; font-size: 10pt; overflow-wrap: break-word;"><strong>4. AI for Genomics: From CNNs and LSTMs to Transformers</strong></p>
<p style="margin:0;padding:0;margin: 0; padding: 0; font-family: arial; font-size: 10pt; overflow-wrap: break-word;"><span> 25-27 January 2027 </span></p>
<p style="margin:0;padding:0;margin: 0; padding: 0; font-family: arial; font-size: 10pt; overflow-wrap: break-word;"><span>This course explores the application of modern AI architectures—Convolutional Neural Networks (CNNs), Long Short-Term Memory networks (LSTMs), and Transformers—to genomic and metagenomic data.</span></p>
<p style="margin:0;padding:0;margin: 0; padding: 0; font-family: arial; font-size: 10pt; overflow-wrap: break-word;"><span><a href="https://www.physalia-courses.org/courses-workshops/ai-for-genomics/">https://www.physalia-courses.org/courses-workshops/ai-for-genomics/</a> </span></p>
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<p style="margin:0;padding:0;margin: 0; padding: 0; font-family: arial; font-size: 10pt; overflow-wrap: break-word;"><strong><span>5. AI-Assisted Coding for Bioinformatics</span></strong><br /><span>26–27 January 2027 | Online</span></p>
<p style="margin:0;padding:0;margin: 0; padding: 0; font-family: arial; font-size: 10pt; overflow-wrap: break-word;"><span>A practical course on using Claude as an AI coding partner for bioinformatics, covering Python programming, genomics data analysis, RNA-seq workflows, coding agents and reproducibility.</span></p>
<p style="margin:0;padding:0;margin: 0; padding: 0; font-family: arial; font-size: 10pt; overflow-wrap: break-word;"><a href="https://www.physalia-courses.org/courses-workshops/claude-bioinfo/">https://www.physalia-courses.org/courses-workshops/claude-bioinfo/</a> </p>
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<p style="margin:0;padding:0;margin: 0; padding: 0; font-family: arial; font-size: 10pt; overflow-wrap: break-word;">For the full list of our courses and workshops, please visit: <a href="https://www.physalia-courses.org/courses-workshops/claude-bioinfo/">https://www.physalia-courses.org/courses-workshops/</a> </p>
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<p style="margin:0;padding:0;margin: 0; padding: 0; font-family: arial; font-size: 10pt; overflow-wrap: break-word;">Should you have any questions, please feel free to contact us.</p>
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<p style="margin:0;padding:0;margin: 0; padding: 0; font-family: arial; font-size: 10pt; overflow-wrap: break-word;">Best regards,</p>
<p style="margin:0;padding:0;margin: 0; padding: 0; font-family: arial; font-size: 10pt; overflow-wrap: break-word;">Carlo</p>
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<p style="margin:0;padding:0;margin: 0; padding: 0; font-family: trebuchet ms; font-size: 10pt; overflow-wrap: break-word;">--------------------<br /><br />Carlo Pecoraro, Ph.D<br /><br /><br />Physalia-courses DIRECTOR<br /><br />info@physalia-courses.org<br /><br />mobile: +49 17645230846<br /><br /><a href="https://bsky.app/profile/physaliacourses.bsky.social">Bluesky</a> <a href="https://www.linkedin.com/in/physalia-courses-a64418127/">Linkedin</a><br /><br /></p>
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