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The Argonne Leadership Computing Facility’s (ALCF) mission is to accelerate major scientific discoveries and engineering breakthroughs for humanity by designing and providing world-leading computing
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modelling and dynamic material planning and production and scheduling into an actionable decision-support toolkit; Embedding explainable AI to ensure planners and engineers understand, trust, and use
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minors, concentrations and certificates to complement their major. The Bissett School of Business is an accredited member of EFMD, a global, non-profit, membership-driven organization dedicated
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vibrant, mission-driven community, interdisciplinary approach, and commitment to addressing some of the most pressing health challenges worldwide. We foster a collaborative and inclusive work environment
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motivated Research Engineer skilled in computational modeling and basic laboratory techniques to join our dynamic laboratory team. We are working on multiple tissue engineering projects for improving human
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design, implement, and scale AI-driven technologies in ways that make a true difference to society. Our ability to respond to the opportunities afforded to society will depend on training and building a
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gust conditions. - Developing physics-informed reduced-order models (ROMs) and data-driven surrogate models for real-time estimation and control. - Contributing to the development of digital twin
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statistical models to simulate climate–hydrology–environment linkages. Utilize GIS, remote sensing, and data-driven approaches to quantify climate vulnerabilities and adaptation opportunities. Collaborate with
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approaches. Machine Learning in Geotechnical Engineering: Utilising data-driven approaches to model and predict soil-structure interactions or other complex geotechnical problems. Reliability-Based
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strategic requirements, assess impacts, and align business and technology outcomes with UNSW's strategic objectives. Design and document “as-is” and “to-be” business processes, services and solution models