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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
mission: (1) To strengthen environmental research capacity across UNC by supporting a multi-disciplinary community of scholars that enhances collaboration, increases sharing of knowledge, and identifies
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, or modeling multi-layer networks, and active participation in research projects and leading a group of highly motivated Ph.D. students is desired. Urban Infrastructure, Technology Systems, Urban Analytics
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
for the Environment (IE) has a multifaceted mission: (1) To strengthen environmental research capacity across UNC by supporting a multi-disciplinary community of scholars that enhances collaboration, increases sharing
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-dimensional statistics; nonparametric statistics; foundations of statistics and decision theory; applied statistics, with specific attention to large-scale applications in a wide variety of contexts
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of existing ones for scientific applications; (ii) Large Language Models (LLMs) and multi-modal Foundation Models (iii) Large vision-language models (VLM) and computer vision techniques; and (iv) techniques
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cutting-edge multi-omics at bulk, single-cell and spatial scales with computational analyses to investigate transcriptome, epigenome and chromatin architecture. Combine multi-omics with flow cytometry and
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from human disease; re-analysis of large-scale clinical datasets to identify new illicit drugs; collaboration with anti-doping programs to identify novel performance-enhancing drug; or curation and
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high-risk individuals, and tailor treatments based on individual genomic differences. The post-doctoral fellow will work on large-scale genetic data analysis, genetic risk prediction, multi-omics, and
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osteoarthritis that cause shoulder pain. This position will work on multiple studies/projects including a large multi-center study on the genetic epidemiology of rotator cuff tears called cuffGEN. This large study
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process. Algorithms will in the first instance be designed for radio astronomy and validated at extreme scales, leveraging dedicated high-performance computing implementations. Technology transfer