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methods to improve early identification of individuals at risk for serious mental illness. Serious mental illness has a major impact on patients, families and society. Early recognition of elevated risk
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, including artificial intelligence, to design and implement processes aimed at streamlining contract cycle times while mitigating business, reputational, and legal risk to the university. The primary roles and
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requiring independence and objectivity; knowledge of accounting principles and standards, proper financial and administrative control procedures, and good business practices; ability to assess risk relative
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for higher education and healthcare, utilizing an advanced risk assessment model to identify and prioritize risks to those activities and obtain management input and buy-in. Oversee a team of managers in
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geometric urban coastline. Natural Hazards and Earth System Sciences, 13(11), 3049–3061. https://doi.org/10.5194/nhess-13-3049-2013 Stockdon, H. F., Holman, R. A., Howd, P. A., & Sallenger, A. H., Jr. (2006
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Executive Director, OCRO Strategy and Optimization, Office of the Chief Risk Officer As a major Silicon Valley employer, Stanford University offers an exciting opportunity for the right individual
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, regulations, and University policies; mitigating risk; pursuing operational excellence; and promoting the financial health of the University. Job-Specific Responsibilities: Reporting to the Associate Director
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Position Information Posting Number S06499P Position Title Outdoor Adventure Trip Assistant Department Campus Recreation Location Arlington Position Status Temporary Work Schedule Days and schedule
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of California Irvine Health More Jobs from This Employer https://main.hercjobs.org/jobs/21938066/risk-management-hc-professional-3-risk-management-ft-days Return to Search Results
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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 1 day ago
optimization, and patient monitoring. The topic is open to several complementary directions, including but not limited to: Predictive clinical models for risk stratification, disease progression, or adverse