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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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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 Computational Biology, or related fields Strong publication record in leading international journals Excellent background in molecular biology Excellent programming skills Experience in computational analysis
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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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Science, Energy Processes or another suitable engineering discipline. Sound background in Energy systems and Fuel cell hydrogen applications. Skills in modeling & structural analysis using various existing
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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
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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
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of thermal energy storage systems, enabling the modeling and analysis of heat transfer, fluid flow, and thermodynamic behavior within the storage system to optimize design and performance. Demonstrated
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, Raman spectroscopy, Scanning Electron Microscopy (SEM), Transmission Electron Microscopy (TEM), BET surface analysis, Fourier Transform Infrared Spectroscopy (FTIR), and X-ray Photoelectron Spectroscopy