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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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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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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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-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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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
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Do you want to contribute to groundbreaking and collaborative research on how to design and integrate of technologies into whole systems using MBSE - Model Based Systems Engineering? This is an
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focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology
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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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/computational methods to model and interpret strong-field quantum-light-driven phenomena. Publishing results in peer-reviewed journals and presenting at scientific conferences Mentoring graduate and undergraduate
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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