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collaborative research projects. Extract data from various sources and databases. Format, transform, review, and assess data sources to determine their relevance and utility for ongoing analysis. Understand key
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to better understand peptide-mediated mRNA decay (PMD). Key responsibilities include: Development of sequencing approaches to identify PMD substrates Bioinformatic data analysis and visualization
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against independent sources. Data summary and analysis. Developing visualization tools to present results. Develop proposals that will be submitted to external funding agencies. Development of Research
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data-processing tool for data analysis and visualization. Minimum Qualifications: Requires a minimum of a Ph.D. or equivalent terminal degree in Electrical Engineering, Biomedical Engineering
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Linux-based environments under technical supervision. Conduct exploratory data analysis and prepare visualizations and summary reports for research collaborators. Contribute to manuscript preparation
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
are of particular interest. The candidate will also develop or improve software for the analysis of these unique MRI data, such as object detection, motion correction, and denoising. These novel MRI tools will be
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. Duties to include: Provide overall support to the Neuroinformatics and Brain Connectivity Lab by assisting senior project members with data analysis, data interpretation, data visualization, and data
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platforms, environmental prediction models, and visualization tools as needed. Additional tasks include field experiments to test the instruments and validate models; preparing data reports and presentations
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, and analyzing these data using advanced statistical models and visualization techniques. The job also emphasizes the dissemination of knowledge about population health, particularly through
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fisheries management and/or economic modeling can be meaningfully linked to applied conservation and real-world marine management contexts; ● Excellent quantitative and data analysis skills including