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with background in ecohydrology, numerical modeling and/or remote sensing to fill a position as Postdoctoral Research Associate at the Department of Hydrology and Atmospheric Sciences. The Postdoctoral
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satellite-based hyperspectral observations. Experience as a field ecologist and involvement in field campaigns. Experience in proximal remote sensing and/or with drones. FLSA Exempt Full Time/Part Time Full
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moisture, and terrestrial water storage change over Arizona under historical periods and future climates. Developing new ET products over Arizona with innovative algorithms and remote-sensing data
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health workplace wellness programs nationally. This project is led by Patricia Haynes, PhD, CBSM, DBSM, at the University of Arizona and provides mentored training in implementation science, stakeholder
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existing independent research projects (e.g., publication of dissertation data). This position is remote eligible. Outstanding UA benefits include health, dental, vision, and life insurance; paid vacation
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interest, though current priorities include photochemical kinetics and atmospheric escape as applied to questions of astrobiological interest. Other responsibilities may include participation in remote and
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Postdoctoral Research Associates. The ideal candidates will possess a doctoral degree (PhD or MD) and have a strong background in molecular biology and physiology. There are three major projects in the lab: 1
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atmospheric escape as applied to questions of astrobiological interest. Other responsibilities may include participation in remote and in-person team meetings, presentation of results at conferences, scientific
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expertise in molecular and cellular biology to advance our research initiatives and enhance computational methodologies. Ideal candidates should have a PhD in Biology, Neuroscience, Computational Biology
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to analyze data using Matlab. Minimum Qualifications PhD in Neuroscience or related field upon hire. Demonstrated research background in the field of neural ensemble measurement. Demonstrated background in