4 model-predictive-control-"https:" PhD positions at Wageningen University & Research
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failure (if they can), but they cannot explain why it happened or calculate the exact contribution of each individual stressor. Furthermore, these models often fail and make overconfident predictions when
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systems increasingly provide personalized recommendations in domains such as nutrition and lifestyle. However, many recommender and prediction systems rely heavily on opaque machine learning techniques
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breeding programs and to support the reduction of methane emissions; a strong interest in statistical models, genomic prediction, and quantitative genetics, preferably with experience with one of more
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, protein-rich cropping systems that improve ecosystem services while minimizing negative impacts on biodiversity and the environment. Develop and parameterize a crop growth model for novel protein crops