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about how you can be a part of AgriLife and make a difference in the world! Position Information The Texas A&M Center for Grazinglands and Ranch Management (CGRM) is seeking a Post-Doctoral Researcher to
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, computational modeling, and data analytics. Experience leading full-scale structural testing. Proficiency in Python or equivalent programming language. Experience with high-performance and high-throughput
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Carrasquillo Lab, National Center for Complementary and Integrative Health, National Institutes of Health | Bethesda, Maryland | United States | 28 days ago
with strong molecular, computational, or transcriptomic backgrounds are especially encouraged to apply. Other requirements include strong laboratory, analytical, and organizational skills; excellent
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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projects focused on optimization, data analytics, and control of power distribution systems. This position offers the opportunity to collaborate closely with utility company partners and national
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metrics such as specific capacity, Coulombic efficiency, rate capability, and cycle life. Perform comprehensive pre- and post-cycling characterization of materials using analytical techniques such as X-ray
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developing real-time, automated, edge, or deployment-oriented analytics, sensing, or decision systems that translate model outputs into practical actions or process decisions. Experience analyzing data from
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 8 hours ago
Posting Information Posting Details Department Applied Physical Sciences - 318100 Posting Open Date 09/18/2026 Application Deadline 10/02/2026 Open Until Filled No Position Type Postdoctoral Scholar
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participatory design and student co-creation to develop responsible approaches to multimodal data collection, research design, and dissemination. ● Design and deploy a platform for linking measures of AI use
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. Knowledge of model validation, uncertainty assessment, data assimilation, model initialization, downscaling, or related model-data integration approaches. Excellent analytical, critical-thinking, and problem