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systems in soil C changes and its relevance for Brazil achieve the iNDC commitments remains largely unknown. In this sense, the aim of this proposal is providing a pervasive biome-scale analysis of soil C
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efficient and scalable algorithms that can handle large-scale datasets. Tensor Analysis: Analyze the structure and properties of multidimensional networks represented as tensors. Investigate different
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Science, or a related field. Strong background in microbial ecology, particularly with experience in cyanobacteria or microalgae biology. Experience with experimental design and data analysis in both
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. Strong background in biomass conversion technologies (e.g., thermochemical, biochemical, or enzymatic processes). Experience with seaweed valorization, biochemical analysis, and extraction techniques
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or membranes. Proficiency in advanced characterization techniques, such as BET, FTIR, XRD, SEM, TEM, TGA, ICP, and gas sorption analysis. Good understanding of process design for adsorption or membrane-based
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of artificial intelligence (AI) into real-time data analysis. This integration can revolutionize the interpretation of remote sensing data, allowing for rapid decision-making in critical situations, such as
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monitoring and electric vehicle battery tracking. Integrate environmental and energy sensors with real-time data collection and analysis systems. Deploy prototypes in the field and optimize their performance
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largely unknown. In this sense, the aim of this proposal is providing a pervasive biome-scale analysis of soil C stock changes in pastures and integrated systems in Brazilian Cerrado. Several areas with
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for industrial applications. This includes exploring novel sensing technologies, materials, and data analysis techniques. Conduct rigorous field testing of developed sensors to ensure sensor accuracy, reliability