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or spatiotemporal analysis, geospatial data, integration of observations across spatial or temporal scales, or methods for estimating pollutant emissions. Experience designing environmental monitoring or sampling
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, chromatin-accessibility, and spatial data where appropriate. Developing or adapting computational approaches for large-scale data integration, predictive modelling, gene-regulatory analysis, and cell-fate
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Memorial Sloan Kettering Cancer Center | New York City, New York | United States | about 18 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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analysis in a setting with ample expertise and infrastructure. This is a rare opportunity to develop expertise in quantitative pathology in the burgeoning field of spatial cancer biology. Ours is a diverse
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 15 days ago
, Regional and Local Planning, or related fields; Experience working with Geographic Information Systems (GIS); Knowledge of databases and data systems; Experience in quantitative and spatial analysis methods
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proteomics, advanced image analysis, and computational approaches to investigate molecular and cellular heterogeneity and to integrate spatial molecular information with histopathological and clinical data. We
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. The College offers MS and PhD degrees in optics and photonics, and a BS degree in photonic science and engineering. The faculty engages in fundamental and applied research and education in lasers
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Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Introduction to the vacant position: The Spatial Biotechnology Group is looking for a
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laboratory experience, such as: DNA/RNA extraction, PCR, cloning, virus production, ELISA, etc. Computational biology laboratory experience, such as: bulk- singl cell- or spatial-transcriptomic data analysis
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: Experience with georeferencing and geoprocessing tools applied to urban studies, including the organization, processing, analysis, and spatial representation of data. Strong academic track record, with