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Posting Details Position Information Posting Number SRGV8860 Working Title FACILITIES PROJECT MANAGER III Number of Vacancies 1 Location Edinburg, Texas Department Planning and Construction FTE 1.0
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: Support the RE-STEEL project research team in the main research tasks. Functions to be developed: Define basic structural reliability curves for different reference periods. Participate in the SHM strategy
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 18 hours ago
trades school program preferred Five years recent and related journey person experience in construction and maintenance areas Computer literacy and Direct Digital Controls knowledge required Ability
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operating model and governance structure that ensures reliable service delivery, strong change control, appropriate separation of duties, and alignment with institutional priorities. In addition, the Director
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, including refining page structure, formatting and uploading content, improving visual consistency, and helping ensure the site is user-friendly across devices. The primary goal of the project is to support
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or safety hazards. Collaborate with other maintenance staff and departments to complete projects efficiently. Drive between job sites as required. Demonstrate reliability, attention to detail, and a strong
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for concrete, modelling of concrete structures and structural reliability. Good communication skills and the ability to collaborate in a multidisciplinary team. Willingness to carrying out large scale
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performance of building systems, infrastructure, and equipment to ensure safety, reliability, and long-term asset performance Rice University HR | Benefits: https://knowledgecafe.rice.edu/benefits Rice Mission
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translates functional requirements into electronic forms, approval workflows, event-driven automations, and supporting data structures. The role focuses on business process automation across administrative and
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Santos do Carmo Madeira IV - Work Plan / Goals to be achieved: Federated learning (FL) has emerged as a promising method to address reliability and safety problem by enabling decentralized model training