by Enveda
Build models that identify molecular structures from mass spectrometry data. Participants use mass spectrometry observations to predict the two-dimensional structures of small molecules. The challenge connects machine learning with biological and chemical research. Entries are evaluated and submitted through Kaggle.
Accept competition rules before the entry deadline; Kaggle data, licensing and prize conditions apply.
Prize total remains unverified; consult official competition rules.