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systems used by CU Anschutz or its affiliates. Experience in behavioral health. Experience with Power Automate, DAX, VBA, Python, and/or R. Experience in finance, revenue cycle management, clinical
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or Python Ability to communicate effectively, both in writing and orally Ability to establish and maintain effective working relationships with employees at all levels throughout the institution Outstanding
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or related field. Two years of experience writing and debugging C++ and Python. Experience with distributed version control (e.g. Git, Mercurial). A minimum of two years of development experience in a unix
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students, and faculty. Introductory and intermediate programming (e.g., Python) Data wrangling, data quality, and visualization Introduction to machine learning and practical applications Introduction to ML
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, and issue resolution. Advanced issue resolution, root cause analysis, and performance tuning skills. Proficiency in automation technologies such as but not limited to Python, Shell scripting, and Puppet
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or TensorFlow to develop state of the art machine learning pipelines. Perform statistical analysis in languages including R and Python Work Location: Hybrid – This role is eligible for a hybrid schedule of 2
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VLMs and LLMs. Proven experience with high-performance computing, including GPU server setup and maintenance Programming Skills: Proficiency in Python and frameworks like PyTorch, TensorFlow, or Keras
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one or more programming languages (e.g., R, Python, Perl, Java, C++) and willingness to learn new programming languages as necessary. Familiarity with statistical analytical concepts and methods
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an experimental or wet lab. Experience with data analysis on protein-protein interaction, and mass spectrometry-based proteomics. Prior experience with scientific programming and statistics using R/Python. Prior
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, deep learning, and statistical modeling techniques. Proficiency in programming languages such as Python, R, or C++, with experience using AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn