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2024 nanocourses

Spring

  • 1/22-1/23: Single Cell Genomics
  • 1/30-1/31: Diffusion models: from image to biological sequence generation
  • 2/13-2/14: Deep learning for beginners
  • 2/26-2/27: Multiplexed NGS assays and analysis: from FASTQ to fitness
  • 3/26-3/27: Scientific Reproducibility using containers
  • 4/10-4/11: Programming for beginners using MATLAB

Summer

  • 5/14: Ethics in AI Discussion Forum
  • 6/10 & 6/12: Introduction to Linux

Fall

  • 9/5-9/6: Data Science using R
  • 9/11-9/12: Deep Learning for Beginners
  • 9/19-9/20: Time Series Analysis
  • 9/19, 24, 26 & 10/1: Advanced Concepts of Deep Learning
  • 10/29-10/30: Architecture and Applications of Deep Learning
  • 10/30-10/31: Introduction to Python
  • 11/11, 12, 13, & 14: Diffusion Models: from Image to Biological Sequence Generation
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