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Field
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support data analytical efforts using ML / AI algorithms for high frequency longitudinal sensor data, study data management, interaction with various UAHS stakeholders and incorporation of wearable sensors
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digital twins to develop innovative solutions for monitoring, analyzing, and optimizing urban systems in real time. The candidate will contribute to modeling interactions between physical and digital
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-performance computing (HPC) environment Perform data analysis and visualization Perform machine learning and inverse design techniques Train and supervise masters and doctoral students Coordinate research with
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the development of reports, graphs, charts, and other visuals required. Proficiency in Word, Excel, and PowerPoint required. Preferred Qualifications: Focus on environmental epidemiology and cancer research
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design, modeling, mapping, coastal planning and management, or related activities. Demonstrated understanding of interactions between the built environment, coastal processes, and natural environments
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Your position Bacterial infections pose a major threat to human health. However, critical knowledge gaps remain regarding the localization, properties, and host interactions of pathogens within
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activities related to cloning and/or synthesis of nucleic acid nanotechnology Designs and carries out experiments in BSL2 lab space Performs quantitative analyses and generates data-rich visualizations from
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perception in the visually impaired and the visually restored with Retinal Prostheses by utilizing both psychophysics and neuroimaging. The proposed studies will provide crucial insights into key
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uses software called Visual Compliance to perform RPS, which involves a review of government lists to ensure that the university is not interacting with a person or entity who is on a restricted, blocked
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Education and Experience Preferred experiences include research in cognitive neuroscience, human functional brain imaging, psychology, neurology, psychiatry, machine learning, data visualization, and data