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Program
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Field
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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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enamel, dental mesowear, mandibular morphometry, dental microwear textures) and GIS spatial analysis to explore their ecologies and identify the impact of structuring territorial features. The results will
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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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experiments, data analysis, and animal colony management. Beyond technical support, the successful candidate will be an essential part of daily lab functionality and will be mentored to design and lead
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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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of the nation’s key facilities supporting scientific ocean drilling research, and (2) strengthen our repository’s capabilities in modern data analytics, including spatial statistics, Bayesian approaches, and
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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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cutting-edge single-cell, spatial, in vitro, and surgical approaches in multiple model species and in human organoids to investigate the uterine endometrium and maternal-fetal interface, with the goal
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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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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