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fluxes and acidification in global marine P cycling through a combination of field work in the North Atlantic Ocean, laboratory experiments and numerical modelling. A scientific cruise with our research
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of natural earthquakes and numerical modelling to develop new insights into earthquake nucleation. The successful PDRA applicant will lead and contribute to laboratory experiments that investigate earthquake
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
to Duke University and North Carolina State University. The area offers numerous opportunities for collaboration across institutions. Chapel Hill and the surrounding area are known for their high quality
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Science and Artificial Intelligence. The lab models, simulates, and analyzes social phenomena using computational, experimental, and theoretical methods. We pursue consequential questions
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, posterior sampling, and assessment of convergence and model fit. Proficiency in Python and the scientific computing stack, with experience developing software for scientific, statistical, or numerical
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of Prof. Khaled Shahin. Qualifications Candidates must have a strong background in fiber-reinforced polymer (FRP) composites, with experience in testing, manufacturing, or modeling preferred. Working within
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implementation of numerical algorithms in advanced modeling and simulation software related to reactor physics analysis an asset. Ability to obtain and maintain a security clearance. Special Requirements
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of the department's modern laboratory-, core- and animal facilities. The Department of Biomedicine focuses on innovation, entrepreneurship and collaboration with business and industry, and numerous researchers from
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field. Demonstrated experience with numerical groundwater modelling, preferably including variable-density flow, solute transport, freshwater-saltwater processes, aquifer storage and recovery
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an existing adaptive mechanoregulatory model for tendon repair in humans. Description of the work duties: Responsibility for designing, planning, and performing numerical studies within the subject area