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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 30 days ago
compression methods will be considered throughout the project, in particular with spatial compression [1, 2], mesh-based wavelets [7], or auto-encoders [6]. References [1] Andrés Hoyos-Idrobo, Gaël Varoquaux
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, to achieve spatial understanding and cross-modal representation learning from heterogeneous sensor data, with the research not limited to these methods. This research will support semantic interpretation
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(HPC) for biological simulations and analyses; multimodal data integration and analysis; new approach methodologies (NAMs). Precision Medicine and Biomedical Data: spatial transcriptomics and spatial
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working with others and able to support co-creation. This role will be located in the School of Geography’s Institute for Spatial Data Science (ISDS), as part of the Mobility Science Lab. As well as working
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developing approaches to leverage spatial data to better understand evolutionary histories. More information about the lab and their work can be found by visiting https://federlab.github.io/ About the
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | about 1 month ago
material strongly influences microbial viability, colonization efficiency, and spatial distribution in the root zone. A systematic evaluation of inoculum formulation, carrier materials, and ecological
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reached. However, this macroscopic point-of-view ignores the nanoscale spatial heterogeneity of the temperature distribution while strong thermal gradients could induce localized therapeutic effects
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-dimensional vision, ability to judge distances and spatial relationships). • Ability to adjust focus (ability to adjust the eye to bring an object into sharp focus). Open Date 03/09/2026 Close Date Open Until
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colors) • Depth perception (three-dimensional vision, ability to judge distances and spatial relationships) Open Date 03/09/2026 Close Date Open Until Filled Yes Special Instructions to Applicants
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staff. We conduct research in several areas: analysis of high-dimensional data, Bayesian methods, spatial-temporal models, non-Gaussian modeling, applied research in social science, as well as stochastic