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