34 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" research jobs at University of Texas at Austin
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Job Posting Title: Postdoctoral in Cognitive and Behavioral Data Science ---- Hiring Department: Department of Psychology ---- Position Open To: All Applicants ---- Weekly Scheduled Hours: 40
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effective May 2015. The university’s company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following: http://www.utexas.edu/hr/documents
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industry, including companies such as Amazon, AMD, Apple, Applied Materials, AT&T, Dell, Google, IBM, National Instruments, and Samsung. For more information about the department, please visit the Department
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well as one-time relocation expenses of up to $3,000. For full consideration, applications must be received by January 16, 2026. Detailed information, including application instructions and requirements, can be
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coverage Retirement contributions Paid vacation and sick time Paid holidays Please visit our Human Resources website (https://hr.utexas.edu/prospective/benefits ) to learn more about the total benefits
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faculty at UTMSI funded through the Texas Gulf Coast Research Center (https://marinescience.utexas.edu/research/texas-gulf-coast-research-center) and aims to develop a novel ecosystem model for an estuarine
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-time data analysis, and tool-use APIs to automate complex decision-making across materials design, liquid-phase synthesis, and characterization platforms. Responsibilities include building agentic AI
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modeling. This is a temporary 40 hour per week research position that will end on August 15, 2026. Responsibilities Preforming experiments, analyzing data, optomechanical design, and/or computational
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data, and maintaining accurate records. Key responsibilities include recruitment, data collection, specimen processing, quality control, and assisting in the preparation of research reports
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3 years of hire Preferred Qualifications Strong background in seismic interferometry, including coda-wave interferometry applied primarily to broadband seismic data, with experience extending