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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 hours ago
Posting Information Posting Details Department Physics and Astronomy - 319000 Posting Open Date 09/01/2025 Application Deadline 12/15/2025 Open Until Filled No Position Type Postdoctoral Scholar
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(such as advanced pumped storage hydro, data center, etc.) for large-scale power grids study. Support interconnection studies, grid impact assessments, and compliance studies. Prepare the results in form
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cooperative working relationships with coworkers, students and collaborators. Organizational skills to effectively manage and maintain large data sets. High level of independence and reliability. Demonstrated
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demonstrated independent thinking and problem-solving abilities. Experience using large databases is preferred, and genetic data analysis skills are desirable. Required Qualifications PhD or MD in Public Health
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a related field. No experience required. Preferred Qualifications Prior experience with brain development, and/or cancer cell biology would be an asset. Experience with large-scale genomic data would
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disease with a focus on Alzheimer’s Disease. Computational models will be developed that utilize data obtained from a wide range of experiments, from basic biochemical methods to advanced imaging techniques
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The successful candidate will be responsible for developing computational and systems biology approaches to analyze spatial omics data and single-cell omics data (e.g., scRNA-seq, scATAC-seq, single
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microbiology, molecular biology, cell biology, immunology, multi-omics, and animal models of disease. The candidate will design and perform experiments, analyze data, and interpret results. Prepare and publish
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and the terms of the research grant when extending an offer. Completion of PhD in Data Science, Computer Science, Mathematics, or other discipline aligned with CDS faculty research by the start date
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learning, and signal processing applied to conduct high quality research with a particular focus on neuropsychiatric and cardiovascular diseases. Working in a large team of 15 PhD students, several postdocs