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the spatial omics database on computer servers Facilitate development and incorporation of new computer algorithms into the existing pipeline Required Qualifications* BA in statistics, computer science
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or dispersion, source-receptor modeling, spatial statistics, or spatiotemporal modeling Applicants who do not meet these qualifications WILL NOT be forwarded to the Hiring Manager. Additional Qualifications
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the use of spatial models for ecosystem services and the integration of diverse environmental, socioeconomic, and spatial datasets. • Statistical analysis skills, including experience with R and other data
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models for bridging knowledge gaps, data scarcity and uncertainty gaps, and governance gaps related to monitoring the environment on which humans depend. A part of this is **spatial statistics of sensor
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Memorial Sloan Kettering Cancer Center | New York City, New York | United States | about 2 hours ago
Role Overview: We are seeking a highly motivated computational biology postdoctoral fellow to lead translational studies in single cell and spatial biology of gastric cancer immunology and evolution
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bioinformatics for a fixed term (CDD) Research Engineer (Ingénieur d’études) position within the team. Main Mission Mammary organoid culture and bioinformatic analysis of spatial transcriptomics data. Main
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spatial statistics, GIS and linear modelling to conduct desk-based analyses. In the field, the successful student will be trained in census methods, plant identification and experimental design. Training
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of single-cell genomics and spatial transcriptomics data with the aim to improve the understanding of the development and function of specific neural cell types and neural circuits. You will contribute
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Genomics and Therapeutics Division (PI Dr. Simona Migliozzi, PhD) The GarMiglio Lab (https://garmigliolab.com/) led by Dr. Luciano Garofano (Assistant Professor) and Dr. Simona Migliozzi (Assistant Professor
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of analyzing spatial and quantitative relationships in high content multiplex histopathology images Skills and experience of matched designs plus advanced statistical modelling of high-dimensional data, e.g