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Pytorch and/or JAX deep learning models. Experience in single-cell or spatial omics data analysis. What we offerEmbedding within a computational team, with extensive experience in computational biology and
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The Faculty of Spatial Sciences is seeking a PhD researcher on new urban–rural connections, with a focus on spatial-economic relations between city and countryside and on the significance
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and implementation of time scales and spatial landmarks. It is located on the Paris site of the Paris Observatory (XIVth arrondissement). The REFAG team is specialized in the processing of space geodesy
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information through parallel channels—manual signs, spatial grammar, facial expressions—operating simultaneously in 3D space, presenting unique computational challenges for cross-modal alignment. The project
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. Specifically, NIR sensors, hyperspectral imaging coupled with standard or macro lens, spatially resolved spectrometry, evolving plots, and FTIR will be used for the non-invasive characterisation of raw material
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-Spain’s Recovery, Transformation and Resilience Plan 1. First project in which the successful applicant will collaborate: 1.1. Name of the project: “Impact of the spatial-temporal aggregation
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community engagement. In this role, you will: Contribute to research on ecological and spatial data for urban environments: Conducting fieldwork, data collection and analysis related to urban air quality and
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the establishment of an independent, extramurally funded research program. Candidates should have expertise and demonstrated experience in working with human primary tissues, single cell RNA-seq, spatial
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spatial analysis and mapping tools (e.g., QGIS, ArcGIS, or spatial packages in R/Python) Interest or experience in applying AI or machine learning methods to ecological questions Personal attributes: Strong
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the Environmental Geography department in collaboration with the Environmental Economics department. The Environmental Geography department conducts interdisciplinary research on the spatial aspects of environmental