SLAS is currently soliciting proposals in the following topical areas, based on SLAS strategic educational investment:

  • Single-cell analysis
  • Gene Editing – tools, methods, and applications
  • All things 'omics: transcriptome, genome, proteome, metabolome
  • Protein degradation as therapeutic strategy
  • Artificial intelligence, machine learning, and neural networks ("AI 101")
  • Scripting languages and informatics (i.e. Python tool-kits)
  • High-content screening and assay development

 

Interested parties should submit a proposed course title, expected learning, abstract, relevance to SLAS community, and creator / instructor credentials (CV, LinkedIn profile) for consideration. Proposals will be reviewed on an as-received basis throughout 2020.

 

Questions? Contact Mike Tarselli, SLAS Scientific Director

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