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the Department of Neurology; plans, designs and executes experiments of considerable scope and complexity in the assigned research lab; collects and analyzes data for research sponsored by appropriate agencies and
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complexes under stress, the molecular mechanisms underlying mitochondrial permeability transition, and the signaling pathways that regulate mitochondrial dysfunction. The laboratory employs
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analysis, factor analysis, or related methods. Experience working with dietary assessment data and translating complex nutritional exposures into epidemiologic research. Record of peer-reviewed publications
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 hours ago
, analysis and dissemination, and project administration. https://www.cpc.unc.edu/about/ Position Summary The Carolina Population Center at the University of North Carolina at Chapel Hill invites applications
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for compositionally complex, defect-containing and structurally disordered crystalline materials. Develop, train, validate and benchmark machine-learned interatomic force fields for multicomponent inorganic energy
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of random fields, the project seeks to illuminate complex analytic phenomena that remain out of reach under traditional deterministic frameworks. Reporting Structure The PDRA will be based in the Department
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complex research projects. Formulate research methods, develop research criteria, and perform scientific data collection and analysis using independent judgment. Foster collaborations within the Department
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at the intersection of environmental economics, spatial analysis, and social-ecological systems, the Postdoctoral Researcher will lead the development of an inventory and spatial database of ecosystem services impacted
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their academic career, who demonstrates strong work ethic, exceptional initiative, and an innovative, analytical approach to solving complex scientific problems. The position will involve analysis of DNA
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integrate protein biochemistry, analytical methods, molecular microbiology, and quantitative data analysis. These efforts will improve assay sensitivity, selectivity, stability, and performance in clinically