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. Responsibilities Carry out cutting-edge research in infectious diseases, by employing advanced empirical, experimental, and image-processing tools. Engage in experimental design and troubleshooting during sample
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in imaging and computational modeling (including artificial intelligence, AI, and machine learning, ML) will boost neurotherapeutics to rapidly identify, treat, and prevent nervous system disorders
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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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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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Job Posting Title: Senior Systems Administrator ---- Hiring Department: Department of Earth and Planetary Sciences ---- Position Open To: All Applicants ---- Weekly Scheduled Hours: 40 ---- FLSA
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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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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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program in Texas, the Cockrell School of Engineering at The University of Texas at Austin has been a global leader in technology innovation and engineering education for over a century. The Center for
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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