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Open post-doc position


Plant disease monitoring in crowdsourced image systems

The candidate will closely work with the interdisciplinary team at the origin of the awarded Pl@ntNet pla orm. She/he will benefit from a privileged scien fic context at the intersec on of ecology, agronomy and computer sciences and par cipatory ac on research methodologies. The selected candidate must start between September 2017 and December 2018, for a dura on of 18 months. The candidate will work on the evalua on and experimenta on of automated visual data analysis, in the aim to evaluate the poten al of automa cally recognizing plant diseases in crowdsourcing context.