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, and is known for its leadership in high performance computing, visualization, big data analytics, and machine learning. UT Austin hosts a broad range of Centers and interdisciplinary initiative
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. Responsibilities Develop and implement innovative statistical and computational approaches for the analysis of large datasets. These datasets may utilize several types of available data sources, including public
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, opinions, and perceptions from colleagues with varied backgrounds and experiences. For more information about the College of Liberal Arts, visit our website . Our college seeks to build a supportive, growth
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: Bioinformatic methods High performance computing (HPC) and big data management Freshwater and marine ecosystems Community ecology and bacterial evolution Relevant education and experience may be substituted as
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projects as needed, including events, presentations, updating the Briscoe Center wiki and associated documentation, large-scale collection stewardship projects, finding aid review, and more. Collaborate with
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employer and alumni engagement with McCombs students through large scale recruiting programming to complement traditional on-campus recruiting activities (such as interviews and information sessions
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portfolio in the College of Pharmacy. Supervise staff that support academic processes, including data maintenance, systems, compliance, and administration for the academic affairs portfolio and subunits
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known for its leadership in high performance computing, visualization, big data analytics, and machine learning. UT Austin hosts a broad range of Centers and interdisciplinary initiative, including
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Athletics IT and Texas Athletics sponsored events. Establishes close communications and good working relationships with staff, external partners, and management. Maintains accurate information efficiently
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and https://hr.utexas.edu/current/services/my-total-rewards . For more information about the College of Liberal Arts, please visit: https://liberalarts.utexas.edu/ . Our college seeks to build a