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for spatial design, mission analysis and other related tools (GMAT/STK/360TM, CATIA...) is an asset. Specific Requirements Titulación Académica: Ingeniería Aeroespacial (Titulación Universitaria
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ovarian cancer. The laboratory has about 18 members that study ovarian cancer biology. We use a variety of cutting-edge methods, including spatial proteomics, spatial metabolomics, 3D organotypic cultures
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imaging, spatial data analysis, and machine learning. One arm of the project will seek to engineer diverse quantitative features (e.g., adapting concepts and metrics from network science [5] to characterise
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ecology. Familiarity with New Mexico Flora. Experience using ArcGIS Pro software and other spatial analysis software. Vegetation community mapping and classification. Experience in field ecological data
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innovative methods for the large-scale spatial and temporal analysis of interferometric SAR data, with particular focus on monitoring surface deformation and active geomorphological processes. The objective is
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maintain algorithms in biomedical image analysis pipelines. Validate algorithm performance on novel datasets. Analyze spatial transcriptomic data. Perform statistical analyses on data extracted form bio
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activities through field surveys and data analysis; 4. collection, processing and analysis of samples for environmental DNA (eDNA) aimed at species detection and spatial distribution assessment; 5. performance
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to high-dimensional omics datasets. Familiarity with transcriptomic analysis tools (e.g., Seurat, Scanpy, DESeq2). Experience with spatial transcriptomics and multi-modal data integration is highly
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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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asismique sont aussi responsables des changements de perméabilité du milieu qui sont au cœur même des objectifs de l'activité industrielle d'injection. La quantification de l'extension spatiale du glissement