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Center (TrAC) at Iowa State University seeks a Postdoctoral Research Associate to advance uncertainty quantification for large language models and agentic AI systems. The successful candidate will develop
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noise that limits qubit coherence, and to determine what fraction of a qubit’s decoherence is magnetic in origin. This will be achieved by combining NV-based noise spectroscopy (spin relaxometry and
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, modifying, and functionalizing porous materials (especially zeolites, oxide, and carbon-based materials) and single-site catalysts. Demonstrated extensive experience characterizing catalytic materials
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to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation during
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population genomic analyses of crop species Experience managing and analyzing large-scale biological datasets Experience using SLURM-based high-performance computing systems Demonstrated proficiency in R
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. Preferred Qualifications: Experience working with single-cell ATAC-seq, single-cell RNA-seq, and/or other emerging next-generation sequencing technologies. Experience preparing droplet-based single-cell and
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, interfaces, and heterostructures, with particular interest in the superconducting order parameter, thermal and induced quasiparticles, two-level systems, the effects of controlled disorder and emergent
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Researcher will develop machine learning (ML)-based methods for reaction dynamics simulations in both gas-phase and condensed-phase systems. The primary focus of this position is the development and
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experimental and on-farm datasets from corn and soybean production systems. Process and interpret drone-based and remote sensing imagery. Conduct APSIM simulation modeling and related analyses. Investigate
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spectrometry-based metabolomics services and expertise to researchers at Iowa State University and collaborators worldwide. Department Unit/Website: W.M. Keck Metabolomics Research Lab | Iowa State University