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Field
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statistical analyses on large datasets to provide biological insights. Integrates mass spectrometry imaging data with other multimodal imaging techniques (e.g., spatial transcriptomics) for comprehensive
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-processing pipeline for high-field MRI medical data (normalization, denoising, spatial registration) to optimize the quality and consistency of data used in analyses, and to facilitate the search
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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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resolution Utilize cutting-edge techniques including microelectrode arrays, microfluidics, animal behavior and spatial transcriptomics under infectious conditions Bridge hamster and human biology to find common
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. Integrates mass spectrometry imaging data with other multimodal imaging techniques (e.g., spatial transcriptomics) for comprehensive spatial analysis. Establishes new research protocols and procedures
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 8 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
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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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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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learning and deep learning methods to analyze multi-omics data (genetic, epigenetic, transcriptomic, imaging, single-cell genomics and spatial omics data) with the goal of understanding the underlying
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research, with a focus on understanding the molecular mechanisms driving lymphoma progression and therapy resistance. This position will leverage cutting-edge approaches including spatial transcriptomics