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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 4 days ago
Science (CDS) staff, you will develop comprehensive expertise in Bayesian statistical methods for safety signal detection. Training will include structured learning through selected reading, guided coding
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the holder to research, work on, or have access to critical infrastructure as defined in Section 117.001(2) of the Texas Business and Commerce Code, the ability to maintain the security or integrity
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service and diagnostic codes for processing professional and facility charges. Participate in creating efficient patient flow coordinating with nursing/medical assistant staff and faculty. Required
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of fire and life safety systems, from design and construction to maintenance and repair. This includes ensuring all work meets University standards and applicable NFPA codes. This is an exciting
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overrides; assisting deans, chairs and secretaries with registration related activities; assisting with maintaining codes for Institutional Effectiveness; responding to event requests using classroom spaces
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Code Nonexempt Patient Sensitive Job Code? No Type Non Benefited Staff / Student Temporary? No Standard Hours per Week 19 hours per week Full Time or Part Time? Part Time Shift Day Work Schedule Summary
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Date 03/18/2026 Requisition Number PRN16855N Job Title UU Student - Other Working Title UU Student - Accessibility Assistant Career Progression Track SJ Track Level FLSA Code Nonexempt Patient Sensitive
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codes and regulations. Knowledge of workplace hazards and other safety and occupational health issues encountered by employees in their work environment. Ability to read and interpret applicable building
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centres and non-academic organisations. The MSCA promote excellence and set standards for high-quality researcher education and training in line with the European Charter for Researchers and the Code
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coding knowledge as these are transferrable to R. The candidate will be working with the Principal Investigator(s) on the analysis of national health datasets, utilising an array of methods to infer