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related dementia risk. Develop own independent research projects. Visualize research findings for publications, reports, and presentations. Create new conceptual frameworks or methodologies, as applicable
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
, dynamical systems, and scientific computation. Ideal experimentalists will have strong skills in experimental fluid mechanics, including laboratory design, high-speed imaging, flow visualization, and
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Requisition Id 15253 Overview: We are seeking a Postdoctoral Research Associate who will focus on creating innovative uncertainty quantification and visualization algorithms that enable trusted
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peer-reviewed research articles, present findings at scientific conferences and professional meetings, contribute to data visualization, figure preparation, and professional scientific writing. (30
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detailed flow field measurements (e.g., PIV, load cells, hot-wire/pressure probes, smoke visualization). - Analyzing and modeling unsteady aerodynamic response under dynamic pitch schedules, cross-flows, and
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to detect, image, and analyze ferroelectric domains in 2D ferroelectric heterostructures. You will employ advanced cryogenic micro-spectroscopy, and reflection contrast imaging to visualize domain structures
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closely with the principal investigator Dr. Hee Yeon Im on functional magnetic resonance imaging (fMRI) to explore the function of the human brain while learning visually guided motor skills or viewing
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of the Western Mediterranean World between 800 BCE and 300 CE. The thematic focus is on material remains (art, urban architecture and monuments, visual culture, urban performances) and their relevance
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, contribute to data visualization, figure preparation, and professional scientific writing. (30%); Assist in the development of proposals for external funding for research projects. (5%) Requirements Required
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
integration, modeling cancer vulnerabilities, designing tools for data interpretation and visualization, and/or training foundation models and large language models (LLMs) for diverse biomedical applications