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Job Description The Department of Accounting and Information Systems seeks a Postdoctoral Associate to support and advance high-quality research in accounting. The Postdoctoral Associate will work
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reactions among crystal-chemically valid mineral components. ● Collect trace element chemical data on minerals in rocks ● Calibrate thermodynamically-valid thermometers and barometers ● Engage in outreach
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/1). They will be expected to conduct research which falls within the remit of this large-scale project and will have the opportunity to do so in several ways including independently, collaboratively
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Work on globally unique experimental data to shape understanding of tsunami inundation of coastlines and interaction with buildings. Job description Tsunami engineering is a field that has grown
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Posting Information Posting Details Department Biology - 318200 Posting Open Date 08/06/2026 Application Deadline 08/10/2026 Open Until Filled No Position Type Postdoctoral Scholar Position Title
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Science, or Information Science, with no more than five years post receipt of the PhD. The position requires experience with at least one of the following: Data Science, Machine Learning, Computational Social Science, Big Data
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to support MK-MDT faculty programs of research by assisting with grant writing, research design, data collection, data analysis and dissemination. Candidates with interests in health equity, capacity building
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WPI-AIMEC established by Tohoku University and JAMSTEC | JP Nagar III Phase, Karnataka | India | 2 months ago
approach combining observations, experiments, and modeling. Working closely with the University of Hawai'i WPI-AIMEC's international satellite institute, the cluster will focus on large-scale oceanic
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Experience with synchrotron X ray scattering and/or XFEL experiments. Strong skills in crystallographic and scattering data analysis, including handling large datasets. Solid understanding of crystallography
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developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health