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datasets generated by the Phenomobile.v2+ to identify key traits affecting crop performance under stress conditions. Implementing a multimodal approach for large-scale data analysis using CPU and GPU
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, morphological, physiological, and biochemical, etc.), Collect and manage large-scale phenotypic datasets generated from high throughput experiments at the PHENO-MA platform, including image data, sensor readings
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for tensor completion, considering the unique challenges posed by sparse and multidimensional network data. This involves developing efficient and scalable algorithms that can handle large-scale datasets
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18 Feb 2025 Job Information Organisation/Company Mohammed VI Polytechnic University Research Field Agricultural sciences » Other Biological sciences » Botany Biological sciences » Other Researcher
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18 Feb 2025 Job Information Organisation/Company MOHAMMED VI POLYTECHNIC UNIVERSITY Research Field Agricultural sciences Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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18 Feb 2025 Job Information Organisation/Company Mohammed VI Polytechnic University Research Field Agricultural sciences » Other Biological sciences » Botany Computer science » Other Environmental
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18 Feb 2025 Job Information Organisation/Company MOHAMMED VI POLYTECHNIC UNIVERSITY Research Field Agricultural sciences Computer science Environmental science Geosciences Researcher Profile