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publications. Creates database-to-deployment pipelines for models using the necessary programming languages (primarily R, Python, SQL, neo4j). Creates sustainable data science infrastructure and adheres to data
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the areas of job performance, professional development/research support and service. Standards are outlined in the IUI Promotion & Tenure Guidelines: https://academicaffairs.indianapolis.iu.edu/Faculty
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of machine learning or quantum computing Programming skills in Python and/or C/C++ Experience with scientific software tools and numerical libraries Familiarity with Linux-based computing environments Ability
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OF THE CONTRACT The expected duration of the contract is until the end of the project to complete the remaining research tasks to achieve its objectives. Where to apply Website https://sede.udc.gal/services
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of both qualitative and quantitative research methodologies Desirable Experience with software packages such as Python, R, Stata, NVivo Skills &Competencies Essential Applicants whose first language is not
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, or interaction for robotic systems Deep learning or applied machine learning for robotics Practical experience with robotic hardware, software development (e.g., Python, ROS, PyTorch, TensorFlow), and AI-based
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Posting Details Student Title Classification Information Quick Link https://chapman.peopleadmin.com/postings/39207 Job Number SE181824 Position Information Department or Unit Name Environmental
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develop tools for ingesting, transforming, and integrating large, heterogeneous microscopy image datasets—including writing production-quality Python code to parse, validate, and transform microscopy data
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, including branching strategies, pull requests, and documentation-as-code. Ensure all analytical scripts (SQL, R, Python) are versioned, audited, and recoverable. Implement CI/CD (Continuous Integration
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methods for building and validating communication and/or information theory. Candidates must have experience with computational techniques using R or Python and the ability to teach courses in computational