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We are seeking a Postdoctoral Researcher in Geospatial Urban Big Data to support the analysis of urban dynamics and decision-making in territorial planning. The candidate must be proficient in GIS
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Sensing, Geospatial Science, Environmental Science, Data Science, or related field. Strong background in remote sensing data analysis, image processing, and geospatial analysis. Experience working with
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present results at conferences and workshops. Mentor master students and PhDs Qualifications: Ph.D. in Remote Sensing, Geospatial Science, Environmental Science, Data Science, or related field. Strong
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Geospatial analysis, machine learning, and predictive modelling, Have a good command of programming tools such as R packages, Phyton, and other programming languages Publications in the field 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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, Agronomy, modeling, biostatistics, or related field The applicant should have documented knowledges in Geospatial analysis, machine learning, and predictive modelling, Have a good command of programming
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, remote sensing data analysis, images processing, and geospatial analysis. Experience working with satellite imageries (e.g., Sentinel-1, Landsat, Sentinel-2) and other remote sensing data sources