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museums Free rides on all UT Shuttle and Capital metro buses with staff ID card For more details, please see: https://hr.utexas.edu/prospective/benefits and https://hr.utexas.edu/current/services/my-total
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/model documentation, or FAIR data practices. Programming experience in Python, R, Julia, Java, MATSim, GIS tools, or related software. Experience working across disciplines or with stakeholders in
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5+ years of professional software engineering experience Strong professional experience in C++ and Java; proficiency in Python is advantageous Deep knowledge of OOP, functional programming, data
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Python, C# (.NET), Java. Experience building and deploying application code components following Infrastructure as code approach using CloudFormation templates. Experience architecting loosely coupled homo
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experience will strengthen your application: Experience with Python, R, Julia, Java, GIS tools, MATSim, transport simulation, network analysis, or similar tools Experience with mobility data, transport
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and technologies such as IIS , Apache, and Tomcat. Experience deploying, administering, and supporting web applications and application platforms, including Java and ASP . NET . Experience working in
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applications running on Java, ASP . NET . Experience with virtual technologies. Experience with SSIS , SSRS , SSAS . Experience with SharePoint. Experience with MSSQL , PostgreSQL, MySQL Experience with
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skills on Data Analytics and Machine Learning, in particular on distributed ML. Must have very good programming competence in Python, Java, C/C++ or equivalent Fluent oral and written communication
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skills, Python is mandatory, other languages (e.g., Java, C++) will be considered a plus to apply. Understand ML/DL frameworks such as TensorFlow and PyTorch. Familiar with version control systems