373 coding-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" uni jobs at University of Texas at Austin
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contact information For additional information about the department, see https://education.utexas.edu/departments/educational-psychology/ . For questions regarding the application process, please contact
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, free of charge. Please review Interfolio dossier basics online here: http://product-help.interfolio.com/m/27438/l/692488-dossier-quick-start-guide-for-applicants The LBJ School is committed to achieving
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IC² Institute, please visit: https://ic2.utexas.edu Purpose To advance the Institute’s research portfolio in alignment with The University of Texas at Austin’s strategic goals. This position involves
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artificial intelligence for geoscience. Your role will be flexible and largely self-determined. Essential responsibilities may include developing, testing, and deploying code for large-scale model training and
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. Troubleshoot and debug issues identified during integration activities and acceptance testing in support of on-time delivery of the system. Participate in code reviews and ensure development best practices
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Engineering, Computer Science or other related discipline. Demonstrated ability to define and document complex coding relationships in object oriented structures. Demonstrated proficiency in C++ software
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maintainability and scalability. Establishes best practices for code quality, documentation, testing, and version control. Evaluates new tools and technologies and recommends adoption where appropriate. Mentors and
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making new software code the center is making public directly downloadable from the website, converting existing GitHub repositories into PIP‑installable packages, and providing support on additional
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internal and external websites. Build and maintain high-quality, responsive, and accessible user interfaces using HTML, CSS, and JavaScript. Review code, provide technical guidance, and ensure best practices
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projects and applications. Writing flexible and maintainable software code according to software best practices. Researching and testing state-of-the-art algorithms applicable to a range of projects