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-heavy model updates, the proposed approach will use event-driven and sparse-update mechanisms so that learning updates are transmitted only when meaningful local changes occur. This will significantly
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, enterprise data modeling, or data engineering. Proven experience modernizing legacy data environments and designing cloud-native, AI-ready data architectures. Experience working with large, complex enterprise
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The University of Nevada, Las Vegas invites applications for Postdoctoral Scholar, Interdisciplinary Data Science, College of Engineering [R0144891]. *Revised* ROLE of the POSITION The Howard R
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Requirements You have a PhD in chemical engineering, chemistry, applied physics or a related field. You have a strong track-record and experience in physics-based modelling of batteries. You have experience
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Department: Computer Languages and Systems Research profile: Model-driven engineering and intelligent and inclusive systems in health and education Position number: DF03222 Area of knowledge: Computer
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and domain adaptation for data-scarce regions and integration of weather, mobility, and socioeconomic data for predictive modeling. Distributed infrastructure resource management, including data-driven
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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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-organ models; high-content functional screening systems; biomedical digital twins; computational modeling of living systems; AI-driven physiological and pathological modeling; high-performance computing
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Note: This position has been deemed critical by the School of Engineering Dean's Office and is exempt from the hiring freeze. The School of Engineering Stanford Engineering has been at the forefront
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Engineering → Department: BW26 - Data-analyse en wiskundige modellering → Occupancy rate:100% → Number of positions: 1 → Type of employment: Contract of limited duration → Term of assignment: 24 MM → Wage