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effectively within a team. Certification in a relevant field (e.g., FMP, CFM) is desired. Experience with a multi-site or large-scale facility environment is preferred. Knowledge of health and safety
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field-based studies in polar and/or aquatic environments. Willingness to participate in multi-week field campaigns on sea ice. Documented evidence of previous contributions to peer-reviewed literature, as
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foundation models and agentic AI models. Experience in large-scale deep learning systems and/or large foundation model, and the ability to train models using GPU/TPU parallelization. Experience in multi
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thrives in a collaborative, mission-driven environment. The Utah DCC supports large-scale health data infrastructure that underpins national emergency response, clinical registries, and federal research
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thrives in a collaborative, mission-driven environment. The Utah DCC supports large-scale health data infrastructure that underpins national emergency response, clinical registries, and federal research
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thrives in a collaborative, mission-driven environment. The Utah DCC supports large-scale health data infrastructure that underpins national emergency response, clinical registries, and federal research
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are of particular interest and thus are strongly encouraged to apply. Detailed Position Information The Department of Aerospace Engineering and Mechanics (AEM: https://aem.eng.ua.edu ) and the Lee J. Styslinger Jr
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propulsion systems. ADVANCED MANUFACTURING, with an emphasis on systems and processes including (but not limited to) smart manufacturing, multi-material manufacturing, and multi-scale manufacturing
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Access to UT Austin's libraries and museums Free rides on all UT Shuttle and Capital Metro buses with staff ID card For more details, please see: https://hr.utexas.edu/prospective/benefits and https
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and implementing large-scale health services research projects Experience collaborating with state Medicaid agencies, public health departments, or mental health agencies Experience providing analytic