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.