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their operational reliability. The PhD student will combine mathematical models, in-house laboratory tests in a wind-wave-current flume (https://research.ncl.ac.uk/amh/ ) and numerical methodology to quantify
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 6 hours ago
implementation of new programs. The AACMO will work closely with each practice manager and medical director to assure the highest quality of care through the reliable application of clearly written policies and
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preventive maintenance programs using CMMS data and performance metrics. Uses data-driven analysis to improve system reliability, reduce downtime, optimize response times, and enhance customer service
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SyMulDaM project involving the development of predictive models to quantify the integrity and durability of a nuclear power plant containment structure., within the mechanical engineering department
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construction project activities, troubleshoot electrical equipment issues, manage equipment maintenance and repairs, and safely perform switching on high and low voltage equipment during routine and emergency
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concerne l'étude des processus de vieillissement des pierres utilisées pour la construction et la restauration des châteaux de la Loire. Ces études sont motivées à la fois par la montée en compétences au
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patterns, structure, and meaning from images and/or volumes; and (4) new mathematics and algorithms that enable new reliable new applications of machine learning and artificial intelligence to experimental
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Job Description Apply now Job Title: Senior Principal Engineer Posting Start Date: 25/02/2026 About NUS IT NUS Information Technology is the cornerstone to providing reliable, high-performance and
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missions of the Primary Care and Population Health departments. This position will design and create data structures, reports, dashboards, and related data extracts from CUIMC?s Epic electronic health record
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associated with more reliable structure discovery. The project adopts a unified and assumption-aware perspective on evaluation, emphasizing robustness analysis, sensitivity to modeling choices, and