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designated authority. Identify stock by using codes and item numbers. Package for shipment all types of stock and equipment. Load and unload stock from railway cars or motor vehicles. Clean assigned area of
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designated authority. Identify stock by using codes and item numbers. Package for shipment all types of stock and equipment. Load and unload stock from railway cars or motor vehicles. Clean assigned area of
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to exclusively manage coding, data processing, and analytical responsibilities associated with Projects 1a-1c. The successful candidate will leverage advanced computational methods, including Large Language Models
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(SMILES Lab) Resume or CV Links to relevant code repositories, projects, or previous research Job Summary The Secure Modeling and Intelligent Learning Systems (SMILES) Lab at the University of Michigan
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Assistant for a national survey research project. In this role, you will be responsible for tracking longitudinal panel participants, coding participant statuses, and preparing personalized mailings
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for leading frontline employees in the area of equipment and material utilization. Maintain safety standards to assure compliance with the University, State, and Federal codes and regulations. Stay up-to-date
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proper data for billing (ICD codes/CPT). Effectively and efficiently utilize multiple pieces of equipment and computer programs. Complete preliminary reports. Participate in quality assessment (QA
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. This position requires strong analytical skills. Analysts must demonstrate the ability to pull and analyze data and documentation, determine root causes, and recommend solutions based on standard coding and
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and verbal communication skills. Ability to work independently and collaboratively within a team. Experience in Python/coding language in order to help develop chatbot; experience in clinical management
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of Michigan by collecting, coding, and analyzing ERPO court record data from across the state. Additional activities include assisting in training product design and communications design (newsletters, social