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and clinical outcome through comprehensive tumor profiling. The project integrates spatial transcriptomics, long-read sequencing, DNA methylation analysis, and microbiome profiling to gain a deeper
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the nature of the ambient noise in the reactor (spectrum, spatial and temporal distributions, levels), the approach consists in developing passive methods by determining their conditions of use but not
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access to the university supercomputing services to support this work. They may also be required to produce maps and perform simple spatial analysis for other members of the project. They will be involved
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University of Southern California (USC) | Los Angeles, California | United States | about 1 month ago
responsibilities for this role include: Initiating, planning, and overseeing research projects Leading the analysis of complex multiomics data, including single-cell and spatial omics, using R or Python; experience
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are seeking a postdoctoral researcher specializing in digital technologies and urban health. The successful candidate will develop innovative solutions based on the analysis of urban data (big data, IoT, GIS
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computational power and the increasing availability of large volumes of remote sensing data with finer spatial and temporal resolutions have significantly transformed the way we approach climate and weather
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storage potential and future carbon removal and carbon farming policy scenarios. It integrates process-based knowledge with machine learning and especially aims to spatially quantify uncertainties. You will
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for phytoplankton in coastal ecosystems. Proficiency in R, Python, and code documentation/metadata creation. Experience with high-performance computing. Experience with time series and/or spatial analysis, and
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techniques such as single-cell and spatial transcriptomics, genome-wide DNA methylation analysis, CRISPR/Cas-mediated genome editing, pluripotent stem cell differentiation, neural precursor cell and neuronal
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 23 hours ago
/or machine learning/artificial intelligence algorithms. Projects may also include work focused on the analysis of spatial and geographic data and work extrapolating results to different spatial scales