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of neural activity with control of defined circuit elements and utilizing imaging, optogenetics, anatomy, high-density freely moving neurophysiology, behavior, and computation. Ideal candidates will have a
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of Hydrology and Atmospheric Sciences. The postdoctoral researcher will investigate remote sensing methods to estimate whole ecosystem scale transpiration at the Landscape Evolution Observatory (LEO) located
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at the Department of Hydrology and Atmospheric Sciences. The postdoctoral researcher will investigate remote sensing methods to estimate whole ecosystem scale transpiration at the Landscape Evolution Observatory (LEO
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tracking and EEG methods, cross-disciplinary collaboration, and opportunities for mentorship, authorship, and grant development. Our main focus is in how people search withing the visual world, and in
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applications from prospective postdoctoral scholars. Potential projects involve investigating the neural mechanisms underlying age-related changes in spatial navigation and memory. Methods to be used include
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. Knowledge of upstream, downstream, and centerline construction methods, and associated risks and regulatory frameworks. Proficiency in spatio-temporal modeling and geotechnical software (e.g., FLAC, GeoStudio
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control tailings dust, and (b) bioleaching of mine tailings to recover critical minerals. Conduct research to evaluate existing methods for mine tailings dust control currently used in practice. Conduct
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analytical instrumentation including, for example, mass spectrometry-based volatile emissions, microbiology techniques as well as plant physiology. Experience with methods in microbiology, volatile organic
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techniques, validation methods. Ability to analyze time series data including, Frequency domain decomposition (FFT), Wavelets, Forecasting techniques, Latent class modeling, Visualization and exploratory
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metabolomic studies. Complete the assigned work in time. Complete complex research projects at different stages (advanced through nearly completed). Formulate, troubleshoot and optimize research methods and