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, and spatial transcriptomics. Key responsibilities include: Developing AI/ML methods for image alignment across modalities Automated feature detection Predictive modeling of vascularization patterns
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based on single-cell and spatial omics data, and (iii) integrating regulatory profiles with multi-modal data. These efforts aim to uncover regulatory mechanisms behind cancer and to develop predictive
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model, web maps, and geovisualizations for Cosmic Explorer that assists scientist’s in spatial decision making. Throughout your postdoctoral journey with us, you will be encouraged to conduct your own
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generation; 2) vascular biology and vascular aging; 3) tissue regeneration and repair; 4) bioengineering or chemical engineering; or 5) single-cell RNA/ATAC sequencing analysis and spatial transcriptomics
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. We are seeking an energetic and independent researcher who has a strong background in quantitative analysis of social surveys. To qualify for the position, a candidate must have completed a PhD by the
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regulatory interactions, (ii) modeling networks based on single-cell and spatial omics data, and (iii) integrating regulatory profiles with multi-modal data. These efforts aim to uncover regulatory mechanisms
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single-cell and spatial multi-omics datasets. The primary focus of this role is to delve deeper into the molecular mechanisms driving intra-tumor heterogeneity, plasticity, and therapy resistance
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a cluster hire across two research areas: (1) Environmental Social Science, Education and Communication/Meaning-Making and (2) Environmental Data Science and Spatial Computing. This job listing is for
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transmission modeling, statistical modeling, spatial data analysis, and cost-effectiveness analysis. In parallel, we conduct research on vaccine-preventable infections, developing and evaluating predictive
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advanced contextual spatial and temporal modelling approaches. You will work on combining multi-source data such as field observations, laboratory measurements, environmental data, and drone- and satellite