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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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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 13 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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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 15 days ago
. The successful candidate will support research activities related to Geographic Information Systems (GIS), spatial statistics, accessibility modelling, territorial typologies, dashboard development, and scientific
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). Execute bioinformatic and statistical analyses on high-throughput single-cell and spatial transcriptomic datasets. Prepare high-quality manuscripts, assist with grant reporting, and present findings
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methods, such as high-plex immunohistochemistry (IHC) or multiplex immunofluorescence F2. Experience using R or Python for bioinformatics, spatial data, or statistical analysis. Terms and Conditions Salary
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driven to make a biological impact. In particular, we are seeking a postdoc to take primary leadership for analyzing spatial and single-cell multiomics datasets collected from human tissue samples as
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and sample tracking into reproducible end-to-end pipelines. Develop and apply computational pipelines for image processing, cell segmentation, debarcoding and spatial statistics. Close the experimental