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conditions. Implementing a multimodal approach for large-scale data analysis using CPU and GPU Solutions at the UM6P Data Center. Innovate and improve image analysis algorithms for plant trait quantification
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of the geochemical processes governing the formation, enrichment, and preservation of sedimentary phosphate deposits and associated sediments. A particular emphasis will be placed on the distribution, speciation, and
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concentration, and the air flow rate. However, the extrinsic parameters include the properties of the ore to be floated, namely its particle size distribution, the degree of mineral liberation, mineral
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. Proficiency in programming MATLAB and Python for data analysis and algorithm development. Knowledge of data assimilation techniques is a valuable added. Excellent communication skills and ability to work
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properties in drylands worldwide and analyzing their spatial distribution. The research will utilize innovative remote sensing techniques, advanced modeling frameworks, and cutting-edge datasets to enhance our
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are looking for a postdoctoral to perform generate data in Morocco and Africa related to rhizobia genomic characterization, distribution, diversity, and transmission mechanisms between rhizobia and hostel
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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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during natural disasters. AI models can process big datasets efficiently, helping to make informed, unbiased decisions, and ensuring resources are distributed to those most in need. Additionally, when