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technologies and urban health. The successful candidate will develop innovative solutions based on the analysis of urban data (big data, IoT, GIS) to monitor and improve public health. You will contribute
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computational power and the increasing availability of large volumes of remote sensing data with finer spatial and temporal resolutions have significantly transformed the way we approach climate and weather
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international users in water and food systems. Job Description: Over the past few years, advances in computational power and the increasing availability of large volumes of remote sensing data with finer spatial
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expertise in research and development in the following areas of AI and Data Science : Machine and deep learning, NLP, BDI (Belief-desire-intention) systems, and Large Language Models (LLMs). Expertise in
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. Utilize high-throughput sequencing technologies to analyze soil microbiomes and interpret the data using bioinformatics tools. Collaborate with interdisciplinary teams of researchers, including soil
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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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14 Mar 2025 Job Information Organisation/Company MOHAMMED VI POLYTECHNIC UNIVERSITY Research Field Environmental science Geosciences Researcher Profile Recognised Researcher (R2) Established
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air quality modeling tools. Experience with large datasets and data processing techniques. Excellent written and oral communication skills, including the ability to present complex research findings
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. The most recent advances in large-scale gridded hydrometeorological data with relatively high spatio-temporal resolution offer an unprecedented opportunity to address some of these issues, particularly with
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, environmental and health sectors. The lab also provides bioinformatics consulting and data management services to UM6P researchers and their collaborators. UM6P has state of the art NGS sequencers and mass