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research and education in systems analysis, modelling and simulation, intelligent information systems, and software-intensive systems engineering. The Institute plays a key role in advancing data-driven
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and have experience with the PA scope of practice Strong interpersonal communication, organization, problem-solving, and critical thinking skills Proficiency with computer technology (i.e. word
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industry and international partners. For more details, please view https://www.ntu.edu.sg/atmri . We are looking for a Research Engineer to conduct research on air traffic management (ATM) algorithms and
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are driven to expand personal and economic opportunities for our students through the power of higher education. This position plays a role in advancing online education by contributing to the unit’s business
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Apply now Job no:538032 Work type:Full Time Location:Sydney, NSW Categories:Information Technology, Analyst Employment Type: full time continuing role, Business Analyst, UNSW IT. Starting Salary
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Ecole Nationale des Ponts et Chaussées (ENPC) | Champs sur Marne, le de France | France | 2 months ago
demonstrated the efficacy of employing machine learning approaches to furnish engineers with a rapid computational asset for structural design and monitoring. Given that numerical models incorporating multi
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key master data domains (e.g. Person, Organisation, Vendor). The role focuses on identity resolution, survivorship modelling, API-first publishing, and event-driven data architecture — ensuring high
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advanced engineering approaches, including model-based engineering methods, digital representations of systems and processes, immersive engineering environments and data-driven engineering techniques
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AI. Candidates must possess substantial experience in artificial intelligence and machine learning methods, specifically in AI-driven materials discovery, machine learning applications for materials
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recently seen the first results in application to engineering materials for wear and plastic damage in steel. A significant opportunity is FLAME GPU general-purpose modelling framework developed in Sheffield