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. Dept Procard Lead: Responsible for Procard reconciliation for the department and ensure receipts are signed, and all supporting documentation is imaged, and vouchers are processed in a timely manner
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at UT Austin across the general areas of 1. Machine learning for accelerating computational modelling of materials, 2. Computer vision for advanced imaging in materials characterization, 3. Large
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of materials, 2. Computer vision for advanced imaging in materials characterization, 3. Large language models for materials science, 4. Optimization in materials synthesis systems and autonomous high
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facilities for key creation. Input data and other information on the computer, utilizing programs such as Microsoft Excel. Complete Fire, Life, and Safety reporting and assessment for Jester East. Manage and
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pulmonary digital twin libraries, integrating frameworks and tools on exascale computer systems, writing and co-writing research articles and open-source documentation, and advising postdoctoral fellows and
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. Experience with physical modeling, acoustics, signal processing and/or sonar; applied mathematics, machine learning, uncertainty modeling and/or statistics; developing in a Linux environment; high-performance
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mathematics, machine learning, uncertainty modeling and/or statistics; developing in a Linux environment; high-performance, GPU, or cloud-computing experience. Additional experience in the areas mentioned in
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). Outstanding candidates who work in the foundations of AI and machine learning will be considered. Research topics include developing novel tools in generative AI, advancing algorithmic and statistical methods