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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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), including sample preparation, data collection, data processing, model building, and refinement Experience with in vitro biochemical and biophysical assays Record of scientific productivity demonstrated
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laboratories, utilizing real-world utility data and models to address practical and impactful challenges in modern power systems. The selected candidate will contribute to the development of innovative solutions
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. The successful candidate will also apply statistical modeling for mechanistic inference and conduct biogeographic and geospatial analyses of microbiomes. This position involves collaborating with scientists and
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preparation of samples for projects involving process optimization, automation, and data-driven materials discovery. This position is primarily intended for a researcher with strong hands-on expertise in
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of the appointment. Demonstrated proficiency in data analysis, statistical modeling, and data visualization using R, Python, or comparable analytical software. Evidence of effective scientific communication through
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continued funding availability. Required Minimum: PhD degree in Civil Engineering Preferred Qualifications: Demonstrated expertise in water resources and ecohydrological modeling. Demonstrated research
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the instrumentation, developing the data analysis methods, and applying the methods to study model biomolecules and biomass systems. This research is part of the laboratory’s work for an Office of Science, Biological
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computer vision models and web-based decision support tools, to enhance efficiency and decision-making in swine production. Required Minimum Qualifications: • Ph.D. in Animal Science, Swine Nutrition