Topic: research workflows

A practical introduction to AI agents for biological research, covering tool and model selection, context design, costs and privacy. Participants work with research data to produce analyses, figures, presentations and interactive omics portals. Further sessions develop reusable skills, project instructions and agents, connect external knowledge through retrieval and MCP, and assemble reproducible research workflows. The course includes critical review of generated code, limitations, responsible use and laboratory AI policies. Sessions run 14:00–17:00 CET on 3 and 4 December 2026. Intended for

Develop AI-based software tools for materials research and scientific computing. The work explores how foundation models and generated code can improve research workflows and computational methods.