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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260804T003030Z
UID:59e4dd6d-73bb-4412-beb3-aed072f56669
DTSTART:20260420T090000Z
DTEND:20260424T170000Z
DESCRIPTION:Advanced course focused on utilizing Python to apply Machine Le
 arning models to genomic characterization data\, specifically for pathogen
  population analysis in Public Health.
LOCATION:National institute of health (iss)\, viale regina elena 299
SUMMARY:School of Python for genomics Massimiliano Orsini. Advanced Module:
  Applying Machine Learning to Genomics Data
URL;VALUE=URI:https://elixir-iib-training.github.io/site/2026-04-20-Python_
 School_Advanced_Module
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