Postdoc (m/f/d) for AI-driven Method Development for Collection-based Research
Leibniz Association
Germany
Summary
Advance AI-driven methods for extracting and digitizing herbarium and natural history collections using foundation models, few- and zero-shot learning, and domain generalization to scale collection-based biodiversity workflows.