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compliance with safety and regulatory requirements and governing bodies Oversee service recovery efforts Required Qualifications* Leadership experience in a healthcare, janitorial, military, hospitality
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radiation dosimetry codes and their application in radiopharmaceutical therapy and good computer programming skills are required. Proficiency in Monte Carlo methods and Deep Learning methods is highly
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desired: industry specific analytics, data-driven decision-making, statistics, AI and machine learning, optimization, and behavioral decision theory. The ability to teach at the graduate level is preferred
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deliveries Assist with use of automated unit dose dispensing machine (RobotRx) Prepare sterile products, injections and IV chemotherapy Retrieve medication orders from patient units Stock medications shelves
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improve DevOps practices (e.g., CI/CD pipelines, Infrastructure-as-Code, dynamic configuration, system, and service documentation, machine learning driven monitoring/alerting) for RF and network platforms
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audience and want to be part of the best public university in the country, MiWorkspace is for you. Who We Are ITS supports U-M faculty, researchers, staff, and students in their use of technology to teach
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waters and engineered water treatment systems; covers acid-base, precipitation-dissolution, complexation, and oxidation-reduction reactions; emphasis on graphical, analytical and computer-speciation
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you have the required qualifications and these: Experience working with AI or machine-learning frameworks such as PyTorch, TensorFlow, or Hugging Face. Familiarity with Model Context Protocol (MCP
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approximately mid-March and mid-November. We may or may not have openings in a given semester. Job Summary Graduate Student Instructors (GSIs) for ENGR 101 are assigned to teach 1-3 lab sections and hold weekly
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) that will make use of various machine learning algorithms for attack vectors and vulnerabilities, such as intrusion detection, malware analysis, spam filters, anomaly detection, etc. Supervised, unsupervised