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JOB DESCRIPTION: The Radiology Operations Supervisor is responsible for overseeing the day-to-day operations of the radiology department. This role ensures efficient workflow, optimal staffing, and
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University of California, Los Angeles | Los Angeles, California | United States | about 14 hours ago
function across multiple outpatient practices. Reporting directly to the Clinical Director, this position partners closely with department leadership to maintain operational stability, optimize staffing, and
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through the EU Research Framework Programme? Other EU programme Reference Number 30257441553 Is the Job related to staff position within a Research Infrastructure? No Offer Description Mission: Optimize and
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members to optimize the application’s configuration, function, and access. The incumbent supports junior staff members in day-to-day operations and resolving application issues. Collaborates with key
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). Make data-informed recommendations for restocking based on sales trends, marketing initiatives, and client interest. • Performance & Process Optimization: Collaborate within the team to refine policies
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will focus on three interconnected challenges: 1) Novel Inverse Reinforcement Learning (IRL) for Optimal Stopping Traditional IRL methods are not designed for noisy, trajectory-based optimal stopping
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Skip to Main Content Toggle navigation Home Search Jobs Job Alerts Log In /Create Account Help Search Engine Optimization Specialists Bookmark this Posting Print Preview | Apply for this Job
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Skip to Main Content Toggle navigation Home Search Jobs Job Alerts Log In /Create Account Help Search Engine Optimization Specialists Bookmark this Posting Print Preview | Apply for this Job
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, boilers, refrigeration units, and associated components. The technician will play a key role in maintaining, repairing, and upgrading HVAC systems to ensure optimal performance and safety. Key Duties and
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guidelines and clinical protocols, the NP assumes both independent and interdependent responsibilities in the evaluation, assessment, and optimization of pre-anesthesia patients in a clinic setting