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conditions. Implementing a multimodal approach for large-scale data analysis using CPU and GPU Solutions at the UM6P Data Center. Innovate and improve image analysis algorithms for plant trait quantification
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2 Sep 2025 Job Information Organisation/Company MOHAMMED VI POLYTECHNIC UNIVERSITY Research Field Biological sciences Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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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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2 Sep 2025 Job Information Organisation/Company MOHAMMED VI POLYTECHNIC UNIVERSITY Research Field Agricultural sciences Chemistry Researcher Profile Recognised Researcher (R2) Established Researcher
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2 Sep 2025 Job Information Organisation/Company MOHAMMED VI POLYTECHNIC UNIVERSITY Research Field Biological sciences Environmental science Geosciences Researcher Profile Recognised Researcher (R2
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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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, large-scale measurements that can be used to estimate surface variables of interest. In particular, radar data can nowadays be used to obtain maps of surface soil moisture at a high spatial resolution (a
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algebra algorithms, including sparse/dense linear systems solving and preconditioners. Scalable implementations of linear algebra methods targeting large-scale HPC systems. Optimization of linear algebra
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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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microbiomes and interpret the data using bioinformatics tools. Collaborate with interdisciplinary teams of researchers, including soil scientists, biochemists, and ecologists. Publish research findings in peer