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, regardless of process parameters, it is essential to conduct a physical, chemical, and mineralogical analysis of the tailings to study the distribution of phosphates and their relationships with gangue
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. The position is open to individuals with a PhD degree from a recognized university and with substantial expertise in computer science . Qualified candidates will be recruited according to their academic
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communication resources to train the federated machine learning model efficiently. She/he will investigate realistic scenarios including non-iidness of data distribution, system heterogeneity, and dynamic
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spatial distribution of critical topsoil properties in global drylands. Process large-scale geospatial and remote sensing datasets using High Performance Computing (HPC) systems. Conduct data analysis, and