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Field
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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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analysis); data visualization; exploration of multimodal sense-making; and co-writing articles. About the position The position is available for a period of 3 years. There is a 10% component of the position
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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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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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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 8 hours ago
for data processing, visualization, and interpreting complex experimental results. To be eligible, you must either: have received a Doctoral degree within the last five years or be currently enrolled in a
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indicators can be translated to the national level in the form of country policy briefs, national communications assets, and data visualizations; and leading the development of specific tools and products
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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 14 days ago
the neurobiological mechanism of neurodisorders. * Interact cross-functionally: work with people across the team to find creative solutions and deliver them. * Skilled at data visualization and presentation
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colleagues and stakeholders. Advanced epidemiology training/work experience preferred (e.g., causal methods, longitudinal analysis, life course methods, missing data methods) Prior experience working with