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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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physiology. Acquire skills in statistical analysis to design and analyze experiments, interpret data, and apply appropriate statistical models in plant breeding research Familiarize plant breeding techniques
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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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at improving production efficiency and addressing the challenges posed by the use of lower-quality raw materials. This role involves working with a variety of characterization and analysis techniques to evaluate
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candidate will be involved in optimizing the synthesis process, with experience in photo-catalysis. Additionally, knowledge of gas-phase reaction product analysis using micro-GC and FTIR is essential. A solid
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techniques. Proficiency in R, Python, or MATLAB for data processing, geospatial analysis, and statistical modeling. Experience with time series analysis, spatial mapping, and oceanographic data interpretation
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remote sensing and image analysis for soil fertility mapping. Experience with data fusion techniques and multispectral/hyperspectral data processing. Proficiency in programming languages such as Python
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Science, Earth Sciences, or related fields. - Strong background in isotope hydrology, ecohydrology, and modeling techniques. - Experience in fieldwork, data analysis, and scientific writing. - Excellent
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advanced tools such as Whole Exome Sequencing (WES), RNA analysis, GWAS (Genome-Wide Association Study), and CRISPR technology. The fellow will contribute to groundbreaking research that enhances
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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