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X-WR-CALDESC:Events for The National Consortium for Data Science
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DTSTART;VALUE=DATE:20230807
DTEND;VALUE=DATE:20230812
DTSTAMP:20260513T172455
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SUMMARY:Data Matters 2023
DESCRIPTION:Data Matters™ is a week-long series of one and two-day courses aimed at students and professionals in business\, research\, and government. The short course series is sponsored by the Odum Institute for Research in Social Science at UNC-Chapel Hill\, the National Consortium for Data Science\, and RENCI. \nRegistration is now open for the traditional Data Matters series which will be held August 7 – 11\, 2023. Register here. \nData Matters gives students the chance to learn about a wide range of topics in data science\, analytics\, visualization\, curation\, and more from expert instructors. Registration is now open; reserve your spot now!
URL:https://datascienceconsortium.org/event/data-matters-2023/
LOCATION:via Zoom
CATEGORIES:Data Matters
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DTSTAMP:20260513T172455
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UID:10000061-1692705600-1692709200@datascienceconsortium.org
SUMMARY:DataBytes: AI in Target Identification and Drug Discovery: Transforming the Future of Medicine
DESCRIPTION:The National Consortium for Data Science looks forward to hosting Kimberly Robasky\, Associate Director of Machine Learning/AI at Arrakis Therapeutics\, on August 22 for our next DataBytes event as she discusses AI in Target Identification and Drug Discovery: Transforming the Future of Medicine. \nRegister Here \nArtificial intelligence (AI) is taking a transformative role in target identification and drug discovery. Today\, AI algorithms can analyze vast\, multi-modal datasets to identify drug targets\, accelerate lead compound discovery\, and optimize drug design. AI is being used by biotechnology companies around the world to compress timelines and improving clinical trial outcomes. Join us to uncover the data-driven revolution in personalized medicine enabled by AI-driven drug development.
URL:https://datascienceconsortium.org/event/databytes-aug-2023/
LOCATION:via Zoom
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