50 coding-"https:"-"https:"-"https:"-"https:"-"I.E" positions at University of Colorado
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by ensuring safe, efficient, and code-compliant electrical systems across campus buildings. Responsibilities include performing complex electrical maintenance and repairs, supporting construction
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correct coding procedures. Documents sufficient referral detail into EPIC so it is clear what was requested, what occurred, what was approved, and who was notified. Notifies patients of the referral process
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of CPT/ICD diagnosis codes. Work as a patient advocate and functions as a liaison between the patient and payer to answer reimbursement questions and avoid insurance delays. Communicate with patient access
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, efficiency, and compliance with departmental standards. Administration/Charting: 25% Maintain accurate clinical documentation and coding within the EHR (Epic). Partner with providers and coding staff to ensure
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to ensure progress Conduct literature search prior to and throughout each research project to familiarize oneself with state of the art Implement code to run experiments to explore the research questions
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manage expectations with stakeholders, and mentor junior team members while contributing to the overall quality, consistency, and reliability of Compass’s data services. Key Responsibilities: Develop Code
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with Python, MatLab, Igor Pro or similar coding languages. · Experience with TensorFlow, PyTorch or similar frameworks. · Experience with computational neuroscience, including programming
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the culinary team in occasional preparation of food. Maintain health code compliance including, but not limited to, temperature, safe food handling procedures and proper sanitary procedures. Tentative Search
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, code, and analyze data obtained from research in an accurate and timely manner. Adhere to research regulatory standards. Work Location: Onsite – this role is expected to work onsite and is located in
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mathematical analysis pipelines in Python. You will drive exploratory data analysis, feature engineering, and model development, while applying solid documentation and coding practices that make results reliable