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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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develop innovative solutions based on the analysis of urban data (big data, IoT, GIS) to monitor and improve public health. You will contribute to modeling smart cities with a focus on health and designing
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perovskite thin films applications using slot-die coating and other large-area deposition methods. Analyze experimental data to optimize material and device performance, write scientific reports, and publish
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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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consulting and data management services to UM6P researchers and their collaborators. UM6P has state of the art NGS sequencers and mass spectrometry and the largest HPC (High Performance Computing) cluster in
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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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frameworks (MOFs) and their composites using sustainable alternatives, such as waste and industrial by-products. The synthesized materials will subsequently be applied in catalysis and adsorption in large
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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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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