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Field
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(including NIH T32 funded slots), pre-doctoral internship and graduate student practicum levels. The Department also maintains comprehensive clinical-research and data science resources. Shared institutional
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(SHM), physics-based modeling, and data-driven analytics to enable predictive, performance-based decision-making and improve infrastructure safety, resilience, and lifecycle performance. The candidate is
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testing and data analysis with opportunities to work in a multidisciplinary team and contribute to publications and funded research projects. Primary responsibilities: a. Perform catalyst characterization
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needs arise Special Instructions to Applicants In addition to a completed application, please submit • A current CV - must highlight research area of interest • Names and contact information for three
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for real-world problems in urban mobility, transportation management, and autonomous driving. Core research themes include generative AI, multimodal learning, robust data analytics, and interpretable
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of a data repository and analyzing data across multiple labs in the MAGIC research network. This position offers an excellent opportunity to further analytical and writing skills and to publish
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communities (SynComs) Develop and optimize co-culture and community-based assays Perform RNA extraction, purification, and characterization Apply a range of molecular and analytical techniques, including qPCR
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Health Sciences. The position will be focused primarily on analyzing data from projects related to emergency medical services, focused on stroke care, and climate change implementation science. This role
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to field sites for data collection • Analytical method development in the lab • Assist with calibration and preventative maintenance of lab equipment and develop standard operating procedures for newly
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to field sites for data collection • Analytical method development in the lab • Assist with calibration and preventative maintenance of lab equipment and develop standard operating procedures for newly