Get involved in the development of expanded SLAS Short Course offerings! Interested course designers and instructors should submit a proposal including course title, expected learning guidelines, and description of why the content is relevant to the SLAS community along with an abstract and credentials (CV, LinkedIn profile) for consideration by Friday, July 31. Future course topics will include, but are not limited to:
- Single-cell analysis
- Gene editing – tools, methods and applications
- All things 'omics: transcriptomics, genomics, proteomics, metabolomics
- Protein degradation as a therapeutic strategy
- Artificial intelligence, machine learning and neural networks ("AI 101")
- Scripting languages and informatics (i.e. Python toolkits)
- High-content screening and assay development
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