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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 27 days ago
the surface properties of the Asal-Ghoubbet rift by massive inversion of the Hapke model on Pleiades multiangular images. Remote Sensing of Environment 322, 114691. https://doi.org/10.1016/j.rse
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20 Feb 2026 Job Information Organisation/Company Centrale Supelec Department L2S Research Field Engineering » Communication engineering Researcher Profile First Stage Researcher (R1) Positions PhD
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on inverse multiple-scattering algorithms. Implement and evaluate both linear approximation models and nonlinear high-order scattering approaches for accurate imaging of thick and strongly scattering
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Commission we are looking for a Phd candidate to analyze urban trends. Using detailed spatial data, you will analyze changes in the physical manifestation of cities. So, how does the urban area develop because
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disease ⎯ Establish and optimize 3D culture models to explore endothelial–epithelial cross-talk ⎯ Perform imaging and spatial transcriptomics; contribute to data analysis & interpretation ⎯ Write and
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tissue with high spatial precision. This PhD project focuses on the development of surgical micro-robotic devices, with emphasis on micro- and nano-fabrication and optical technologies for sensing
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tissue using genetic mouse models, functional screens, and single cell and spatial omics technologies. More details about the laboratory: https://www.ibt.cas.cz/en/research-laboratories/laboratory
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will commence on October 15, 2024. Applicants should hold a PhD in Computer Science or a related technical field on or before October 1, 2024. The project focuses on conducting cutting-edge research in
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various data types such as whole-genome sequencing (WGS), whole-exome sequencing (WES), RNA sequencing, spatial data, etc, and will also include rich clinical annotation to explore the clinical implications
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ovarian cancer. The laboratory has about 15 members investigating the role of metabolism and methyltransferases in ovarian cancer metastasis. We use a variety of cutting-edge methods, including spatial