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matière, sont de très bons traceurs de la distribution de matière de l'Univers et sont une précieuse source d'information pour la Cosmologie. La sensibilité de la mission spatiale Euclid lancée en 2023
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combining wave modelling, field observations, remote sensing, advanced mathematical methods and AI, the research will quantify spatial patterns of wave set-up, its statistical distributions and co-occurrence
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 8 days ago
datasets, with a focus on spatial analyses such as K-Nearest Neighbor (KNN) algorithms, etc. and Google Map APIs - Familiarity with Jira or similar software for agile software development, team collaboration
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. The spatial distributions of such soil communities, the changes in (functional) diversity of these soil communities in relation to nitrogen deposition and acidification, and their relationships with forest
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applications for a junior independent faculty position in computational biology, focusing on areas like spatial transcriptomics, 3D tissue architecture, cell-cell communication, with emphasis on characterizing
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using deep learning or causal learning methods. Candidates must have solid experience with large spatial and temporal datasets, large model manipulation, and HPC. The candidate must also have experience
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. The project involves large-scale analysis of high-dimensional datasets, including: single-cell and single-nucleus RNA sequencing spatial transcriptomics (e.g., 10x Genomics, Xenium) germline and somatic
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, and the competitiveness of port cities. - Study the current and future territorial dynamics resulting from spatial planning instruments and the Strategic Plan of the Port of Lisbon, focusing on land use
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Spatial mode multiplexing and orbital angular momentum The candidates will be considered until the position is filled. To be considered, all applicants must submit Cover letter Curriculum vitae with
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development of a database of high-resolution equity indicators for disease surveillance, and will contribute to the development of novel approaches for managing confidential spatial health data, including