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: Exempt ---- Earliest Start Date: Immediately ---- Position Duration: Expected to Continue ---- Location: UT MAIN CAMPUS ---- Job Details: General Notes As a top-10 engineering school with the No. 1 program
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cheating/anomaly detection methods using rigorous computational and/or quantitative methods. Researcher has independence to plan, test, and implement other relevant methods and development avenues
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to help develop computational methods and algorithms for novel bi-directional brain computer interfaces. Responsibilities Develop computational methods for analyzing and modeling complex neural
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, publications, and a rich variety of program offerings including readings, talks, symposia, and film screenings. The Ransom Center’s art holdings, ranging from fifteenth-century prints to contemporary artworks
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Annuity 403(b) and a Deferred Compensation program 457(b) For more details, please see: Benefits | Human Resources and UT Austin Employee Experience | Human Resources . Purpose Provide supervisory
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experiments, along with assisting in both human and animal research projects. Assisting with manuscript preparation, including verifying references and data, writing or verifying methods, and reviewing
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Sheltered Annuity 403(b) and a Deferred Compensation program 457(b) Flexible spending account options for medical and childcare expenses Robust free training access through LinkedIn Learning plus professional
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innovation of machining processes, seeking new methods for efficient component fabrication. Other related functions as assigned. Required Qualifications HS or GED. Seven or more years of related experience
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computational methods such as DFT, CASSCF/NEVPT2, etc. Analyze experimental and computational results and write manuscripts for publications, and present research work in national and international conferences
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numerical and statistical modeling of natural systems. Working knowledge in programming languages such as MatLab and/or R. Experience with project management and ability to meet project goals in a timely