Machine learning-based data analysis for crop improvement

Welcome to Carles Quesada Traver!

by Esther Ravelhofer-Alge

A warm welcome to Carles Quesada, who is joining the Molecular Plant Breeding group as a doctoral student to exploit machine learning-based data analysis for crop improvement. His doctoral fellowship is part of the external page RESPONSE Doctoral Program, co-funded by the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-​Curie Grant Agreement No 847585.

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