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/ ROS 2 for real-robot software integration. Proficiency in Python and C++, with good software engineering practices (version control, testing, maintainable code). Familiarity with robotics simulation
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statistical modeling, machine learning, data analysis, and reporting Proficiency in Python or R Ability to plan, execute and control a project, establishing realistic estimates and reporting timelines Advanced
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communication skills in written and spoken English. Proficiency in programming with high-level languages like Python. The following will strengthen your application: Familiarity with open quantum systems
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Python, PyTorch, and Linux/command line Familiarity with LLM in-context learning and prompt engineering Basic understanding of modern LLM models, ecosystems, and pipelines, including retrieval-augmented
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literacy with excellent skills in Microsoft Office applications and databases, in particular in Microsoft Excel. Preferably, strong analytical skills and familiarity with data analysis tools (e.g. R, Python
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offers an impressive benefits package. For more details on benefits, please see: https://hr.utexas.edu/prospective/benefits and https://hr.utexas.edu/current/services/my-total-rewards . For more
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-oriented research Requirements: strong programming and mathematical skills (or strong willingness to learning them) experience with Mathematica and Python work with models in public economics (e. g. optimal
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in one or more of the following programming languages/environments: Python, PyTorch (or similar), and experience with LLM frameworks (e.g., Hugging Face, LangChain) or data analysis tools. Hold a
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meteorology Programming experience (Python, Matlab, etc.) Willingness to learn new technical and communication skills Preferences Experience interrogating and/or visualizing meteorological data Experience with
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Programming experience (Python, Matlab, etc.) Willingness to learn new technical and communication skills Preferences: Experience with web development Experience interrogating and/or visualizing meteorological