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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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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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experience in natural product extraction, purification, and metabolite identification. Proficiency in the use of LC-MS/MS, GC-MS/MS, NMR, and relevant data analysis software (e.g., MestReNova, Thermo
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: A PhD in extractive metallurgy or related subject. Expert in metal extraction, heat treatment & refining processes. Expert in chemical characterization of valuable metals and/or alloys. Excellent
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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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(max 3-4 pages) ; 2 references letters. Qualifications and Exêrience Essential : A PhD in Organic Chemistry or related subject. Expert in retrosynthetic analysis to further elaborate novel organic
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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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knowledgeable in molecular biology and chemical analysis. Proficiency in biostatistics is very desirable. The postdoctoral fellow will play an integral role within our dynamic, multidisciplinary team dedicated
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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