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for soil fertility mapping and crop nutrient management in selected African nations. The Post-Doctoral Researcher will be responsible for conducting innovative research and developing advanced data fusion
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on antimicrobial resistance (AMR). The selected candidate will have a vital role in an innovative project that aims to map the resistome and clarify the mechanisms of multidrug resistance across diverse microbiomes
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project that aims to map the resistome and clarify the mechanisms of multidrug resistance across diverse microbiomes—comprising clinical, environmental, and host-associated microbial communities
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candidate will play a pivotal role in advancing our research project focused on leveraging hyperspectral remote sensing for soil fertility mapping and crop nutrient management in selected African nations
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desirable. Desirable Skills and Assets Familiarity with Moroccan or North African urban contexts. GIS or mapping skills are a plus. Experience in community-engaged research or heritage activism. Ability
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for collecting data on environmental and health parameters (air quality, noise, mobility). GIS Proficiency: Proficiency in Geographic Information Systems (GIS) to map and analyze spatial determinants of urban
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experience in the application of Machine Learning algorithms in the mapping and correction of spatial data. Professional experience in data analysis, preprocessing, manipulation, and cleaning. Excellent
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with cloud-based computing platforms (AWS, Azure, Google Cloud) and high-performance computing (HPC) environments. Understanding of data privacy, security, and ethical considerations in handling clinical
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detection. Familiarity with real-time applications of AI/ML in embedded or IoT devices. Knowledge of cloud-based computing platforms for data processing (e.g., AWS, Google Cloud). Understanding of BMS
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. Additional Skills (Preferred): Experience with environmental data analysis (R, Python, multivariate statistics). Experience in GIS and ecological mapping. Strong scientific writing skills and command