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multiomics and designed a targeted intervention to elicit such potential (Llorens-Bobadilla et al. Science 2020). In parallel, we also develop novel technologies for spatially-resolved multiomics (Llorens
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for Regional Environmental Nitrogen Measurements (Onderzoeksprogramma Regionale Omgevingsmetingen Stikstof, OROS) is essential, as there are clear parallel questions. The project provides strong support for your
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 months ago
least two different crop species in the same field), offers major agronomic potential. However, their implementation is still based on limited knowledge. As the production of experimental references is
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results. Machine Learning skills to automise comparison process. Unbiased approach to different theoretical models. Experience in HPC system usage and parallel/distributed computing. Knowledge in GPU-based