1,218 proof-checking-postdoc-computer-science-logic positions at University of Texas at Austin
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training of an outstanding community of faculty and students. Tenure home will be based in one of the social science departments within the college (e.g., Department of Sociology, Economics, Psychology), and
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tasks and priorities independently and collaboratively. Relevant education and experience may be substituted as appropriate. Preferred Qualifications Bachelor’s degree in computer science
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/instructor positions in our teacher education program. Successful applicants for these temporary, non-tenure track positions may contribute to a large field-based teacher preparation program, potentially
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and repair of precise and complicated instruments and machines, usually for complex scientific research, engineering or teaching projects, by the use of Computer Numerically Controlled (CNC) machines
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-Exempt ---- Earliest Start Date: Immediately ---- Position Duration: Expected to Continue ---- Location: AUSTIN, TX ---- Job Details: General Notes Security sensitive: criminal background checks conducted
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Programs: Tax 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
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Program (ORP) instead of TRS, subject to the position being 40 hours per week and at least 135 days in length. ---- Background Checks: A criminal history background check will be required for finalist(s
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Sciences Laboratory (SISL). Responsibilities Conduct analysis, modeling, software and algorithm development in various disciplines such as underwater acoustics, ocean propagation modeling and SONAR
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our work. With this approach in mind, the team is organized into a zone-based structure and employs flexible work hours, data analysis, and technology to meet operational goals. Your skills will make a
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deadlines. Relevant education and experience may be substituted as appropriate. Preferred Qualifications Undergraduate or advanced degree in the areas of computer science, data science, or mathematics