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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
Title System Executive Director - Advanced Heart Failure & Transplant Network Appointment Type Admin Appointment with Faculty Rank Vacancy ID FAC0006141 Full-time/Part-time Full-Time Permanent Hours per
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-funded Strategies and Tools to Prevent Trypanocide Failure (STOP-Tryp) project. Working with Profs Louise Matthews and Harriet Auty and an interdisciplinary team across the University of Glasgow
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The LiLAC-HF trial is a multicentre randomised controlled trial evaluating the LiLAC programme, a nurse-led, lung fluid-guided heart failure management programme delivered in primary care. The programme
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understanding how climate change weakens snow and ice. Combining analytical, numerical, and experimental methods, the project will improve predictions of material failure and avalanche risk, contributing to more
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assistance or if you have questions about a job posting, please contact Human Resources at [email protected] . Department: ICE | CVSL Heart Failure IP/OP Department's Website: Summary of Job Duties: The
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Skip to Main Content Toggle navigation Home Search Jobs Job Alerts Log In /Create Account Help Advanced Heart Failure/Transplant Cardiologist Bookmark this Posting Print Preview | Apply
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are built and how they perform. We welcome candidates whose research is experimental, theoretical, or computational, and particularly encourage candidates who integrate these approaches. SEMTE (https
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to improve resilience, for example by identifying alternative configurations or recovery strategies after module or connection failures. A complementary strand will develop AI-assisted vulnerability assessment
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seeking PIC Nano-structuring and Nano-characterization Research Engineer with a strong technical background in materials research, characterization of morphology and interfaces, failure analysis, and
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failures within 24 hours and turn those predictions into practical maintenance recommendations. The Research Assistant will combine manufacturing and maintenance knowledge with data science skills to prepare