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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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data in a high-performance computing environment. Assist in the mentorship and supervision of more junior lab members. Interpret experimental results and prepare reports, presentations, and scientific
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. The candidate must have extensive experience in synthesizing, evaluating the performance of, and characterizing catalytic materials, including textural analysis, spectroscopic studies, and electron microscopy
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highly motivated Postdoctoral Research Associate to contribute to research focused on cover crop improvement, agronomic performance, and plant responses to environmental stress. The successful candidate
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manage multiple research projects and provide regular updates regarding scientific progress and project outcomes. In addition, the individual will supervise and mentor graduate students and summer
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applied magnetic field. A major part of the project will also include close collaboration with theoretical and computational materials scientists. The postdoc will perform targeted exploratory reactions in
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transport measurements. The work will include planning and conducting experiments, critically analyzing experimental results and performing numerical calculations or simulations where appropriate
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performance of cropping systems in the U.S. Midwest. The successful candidate will analyze existing experimental and on-farm datasets on corn and soybean production systems, integrate drone and remote-sensing
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into value-added products Design, build, and optimize plasma reactors and related experimental systems. Conduct thermodynamic and kinetic analyses of plasma-driven chemical processes. Perform chemical and
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into value-added products Design, build, and optimize plasma reactors and related experimental systems. Conduct thermodynamic and kinetic analyses of plasma-driven chemical processes. Perform chemical and