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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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purchases as needed and with guidance from the faculty. Managing expense spreadsheets. Design, develop, document, analyze, create, test or modify computer systems or programs, including prototypes, based
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genomics, proteomics, metabolomics, spatial transcriptomics, bioinformatics, mouse genetic engineering, and imaging. Research requiring high performance computing, visualization, and big data analytics is
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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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Job Posting Title: Signal Processing Engineering Scientist ---- Hiring Department: Applied Research Laboratories ---- Position Open To: All Applicants ---- Weekly Scheduled Hours: 40 ---- FLSA
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Experience with high performance computer clusters (e.g, TAMU-HPRC, UT-TACC, NVIDIA Data Center). Preferred Qualifications Background in estuarine ecology, aquatic vegetation Experience with image analysis
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skill set, willing to work with new technologies and signal processing and propagation modeling techniques, be highly organized and capable of planning and coordinating multiple tasks and managing
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diagnostic imaging as needed for to schedule procedures. Perform referral processing coordination, insurance verification, appointment confirmations, cancellations, scheduling and reschedules. Under general
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CAMPUS ---- Job Details: General Notes As a top-10 engineering school with the No. 1 program in Texas, the Cockrell School of Engineering at The University of Texas at Austin (UT Austin) has been a global