170 finite-element-analysis Postdoctoral positions at MOHAMMED VI POLYTECHNIC UNIVERSITY in Morocco
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, biochemical, and molecular tools. Collaborate with team members in data analysis, modeling, and interpretation of complex physiological datasets. Prepare manuscripts for publication in peer-reviewed journals
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): The African Sustainable Agriculture Research Institute (ASARI) is a component of the Mohammed VI Polytechnic University (UM6P). It is located in Foum El Oued/Laâyoune City and constitutes a structure of
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deficiencies. Quantify nutrient uptake, remobilization, and use efficiency using physiological, biochemical, and molecular tools. Collaborate with team members in data analysis, modeling, and interpretation
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component of the Mohammed VI Polytechnic University (UM6P). ASARI is located in Laayoune City and constitutes a structure of practical-based research leveraging up-to-date science and technology with a vision
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working on projects aimed at developing innovative, accurate, and cost-effective tools for foliar analysis and diagnosis. These tools will leverage various spectroscopic techniques (VNIR, SWIR, and XRF
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Entity (ASARI): The African Sustainable Agriculture Research Institute (ASARI) is a component of the Mohammed VI Polytechnic University (UM6P). It is located in Laayoune City, in south of Morocco. Its
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component of the Mohammed VI Polytechnic University (UM6P). It is located in Laayoune City, in south of Morocco. Its vision is targeting real, local, regional, and African challenges in the fields
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refinement for phase analysis. Electron microscopy (SEM, TEM, EDS) for morphology and elemental distribution. Spectroscopic techniques (XPS, Raman, FTIR) for surface chemistry studies. Electrochemical
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refinement for phase analysis. Electron microscopy (SEM, TEM, EDS) for morphology and elemental distribution. Spectroscopic techniques (XPS, Raman, FTIR) for surface chemistry studies. Electrochemical
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Challenges Addressed in the Position: Heterogeneity and high dimensionality of multi-omics data requiring advanced AI/ML methods for robust analysis and integration. Data sparsity, batch effects, and missing