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Field
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experience in life cycle assessment (LCA) and related tools for managing large data sets to evaluate natural resources needed to advance emerging technologies. The candidate will lead their primary project and
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dynamic and collaborative research environment. Basic data science skills including the statistical analysis of large data sets. Prior experience in one or more of these techniques: design and generation
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 14 hours ago
Posting Information Posting Details Department Physics and Astronomy - 319000 Posting Open Date 08/01/2025 Application Deadline Open Until Filled No Position Type Postdoctoral Scholar Position Title
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
include: * Designing and carrying out studies; * Analyzing and interpreting data; * Publishing papers describing these results, all with the mentor. Career development of the Postdoctoral Trainee will be
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(or similar) data analysis. The candidate will work closely with an international team led by Dr. Kristin Braziunas and Prof. Brian J. Harvey at the University of Washington and Dr. Judit Lecina-Diaz
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Position Information Posting Number F00666P Position Title Post Doctoral Research Associate - Space Physics Department Physics Location Arlington Job Family Faculty Position Status Full-time Rank
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Texas is a leader in developing science- and data-informed tools for advancing disaster resilience and supporting public policy across the state. Through efforts such as the Texas Disaster Information
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in the Peng Lab at UCLA The Peng Lab at the University of California, Los Angeles, is seeking highly motivated Postdoctoral Scholars with expertise in data science and bioinformatics to drive
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at UCLA The Peng Lab at the University of California, Los Angeles, is seeking highly motivated Postdoctoral Scholars with expertise in data science and bioinformatics to drive groundbreaking discoveries in
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skills including the statistical analysis of large data sets. Prior experience in one or more of these techniques: mouse survival surgery, two-photon microscopy and analysis, patch-clamp recording, single