63 coding-"https:"-"FEMTO-ST"-"CSIC"-"https:"-"https:"-"https:"-"https:" positions at University of Texas at Austin
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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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Date: Mar 01, 2026 ---- Position Duration: Expected to Continue Until Jul 31, 2026 ---- Location: UT MAIN CAMPUS ---- Job Details: Purpose A research assistant position to support coding and assessment
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, PO’s, maintain payment processing, electronic workflow, and update client records in UT online systems. Verify propriety and accuracy of account numbers and Define codes. Communicate with vendors, other
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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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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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functional classroom. Troubleshoot as issues arise Code and distribute access cards for students, faculty, guests, and staff Responsible for opening and closing the UTNY Center and managing security system
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companies and Operator companies Ability to quickly learn geo-mechanical software and the ability to write computer code that implements physical models Demonstrate research ability through relevant
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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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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