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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 12 hours ago
the distribution, abundance, diversity, and interactions of marine organisms across spatial and temporal scales, and who examine how these dynamics influence marine ecosystem function, resilience, and global
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Good knowledge of aquatic ecology Experience with geographical information systems and spatial analysis Experience with sociological survey design Experience with ecological field studies About us Do you
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. Strong interest in gene regulation dynamics, cancer research, and translation medicine Experience in computational analysis of biological data Experience with single-cell, transcriptomics, spatial biology
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The Geeleher Lab tightly integrates computational/AI-based analysis of high-throughput genomics datasets (e.g. single-cell / spatial genomics, functional screens) with wet-bench experimental work
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, implement, and maintain open-source research software tools for the visualization and analysis of genomic, single-cell, and spatial omics data. Project Leadership: Take engineering and research ownership
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 5 days ago
extrapolate LiDAR-constrained structural data across broader spatial and temporal scales. The participant will collaborate with researchers to evaluate encoder adaptations that incorporate both synthetic
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omics-based approaches. Interest in spatial biology, single-cell/spatial omics technologies and the integration of tissue-based, molecular and clinical data. Basic computational and data-analysis skills
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to apply Website https://iventajobdata.eu/bestmedia/img/2502621/2003273/cl/147a658ff5227583c5e60… Requirements Specific Requirements Your personal sphere of influence: The Department of Behavioral and
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qualifications will be considered an advantage: Knowledge of C++ and C#. Experience with spatial transcriptomics and other spatial omics data analysis. Knowledge of advanced biostatistical methods, including
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students; major areas of focus include providing expertise in the application of spatial technology workflows for slide preparation and analyzing spatial and sequence data, collaborating with investigators