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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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: 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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. Three years of experience coordinating and developing student program(s), including at least one year experience with group advising, large scale event planning and departmental administrative
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benefits package. For more details on benefits, please see: https://hr.utexas.edu/prospective/benefits and https://hr.utexas.edu/current/services/my-total-rewards For more information about the College
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The undergraduate Informatics degree program focuses on how information intersects with people, technology, and data. With advancements in information technology such as big data, artificial intelligence/machine