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datasets, with strong structured and unstructured database management skills. • Knowledge of LLM evaluation methods, metrics, inference processes and deployment setups. • Proficiency in Python, with
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processing, human motion analysis or computer vision; (c) proficiency in Python (e.g., OpenCV, MediaPipe or related libraries); (d) strong analytical skills and attention to detail; and (e) ability to work
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are: Technical Expertise in developing applications with Generative AI and LLMs such as GPT, Claude, or Gemini and demonstrated experience with Python. Excellent with follow-up and follow-through
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development of evaluation methods (e.g., in Python) Support in conducting experiments in the laboratory What you bring to the table Current studies in engineering, materials science, computer engineering, or a
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. Required: * Experience using Linux/Unix systems required. * Experience using scripting languages such as Python and Matlab. * Familiarity with relational databases and SQL required. Preferred: * Familiarity
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to the development and maintenance of science data processing pipeline solutions. This role suits an expert Python programmer with experience in scientific workflows and high-performance computing (HPC), who thrives
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power users to design and implement infrastructure that supports analytics and machine learning workflows, including feature engineering pipelines and model outputs integration. Use Python or R to support
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evaluations. Data Management and Knowledge Generation (50%) Use a strong proficiency with SQL as well as a working knowledge of Python, R, Spark, and/or Google Workspace to gather, create, and use datasets
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., HRS, GFS) in R, Stata, or Python Conduct descriptive, inferential, and multivariate statistical analyses according to project aims Create and document reproducible analysis pipelines Manage code
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
distance of their assigned duty station. Education and Experience: Experience using Python and/or R and relevant libraries for working with images, natural language processing, and working with application