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, land-use change, and environmental dynamics. • Design and implement spatial analytics and geospatial modeling approaches to analyze urban environmental processes. • Apply machine learning and
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 8 days ago
telecom operators with physics-informed and data-driven approaches. The candidate will work on the calibration of models using Origin– Destination data (high temporal and spatial resolution), aiming
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to the development and characterization of advanced human stem cell-derived models, including organoids and Forebrain Chimeroids, as well as the analysis of endogenous prenatal human tissue. In parallel, you will
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cell approaches with experimental epigenetics and stem cell platforms. Potential projects include: Developing AI/multimodal models (e.g., integrating single-cell omics, spatial transcriptomics
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Announcement - Mohammed VI Polytechnic University (UM6P), AgroBioSciences (AgBS) Job Title: Post-Doctoral in Modeling and Crop Yield Prediction in Africa Area of specialization: Agronomy, Modeling, biostatistics
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to lead impactful research at the interface of aging biology, neurodegeneration, and spatial omics. The successful candidate will contribute to high-profile projects investigating the cellular and molecular
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axes: AI-driven territorial diagnostics and foresight, integrating multi-source satellite data with machine learning and spatial modeling Climate–water–energy–agriculture interactions, with applications
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, and spatial transcriptomics/proteomics on human cSCC samples; In vitro models and in vivo systems, including the immunocompetent SKH-1 mouse model of multistep photocarcinogenesis and xenograft models
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by SAR Interferometry (InSAR), which enable surface deformations to be spatialized and movements to be detected at a regional scale. The implementation of advanced InSAR processing chains will provide
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for the Modeling of Biological and Sociotechnical Systems (MOBS Lab) within the Network Science Institute at Northeastern University. MOBS Lab focuses on research projects aimed at developing innovative mathematical