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University (https://aihub.osu.edu ). The AI(X) Hub at The Ohio State University is a university-wide initiative to accelerate research, innovation, and education in artificial intelligence. It spans 15
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technology-driven research spaces, demonstrating familiarity with high-speed computing plants and related needs in data storage, utilities and unique venting requirements to support research of all types
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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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business driven innovative professional with entrepreneurial and/or technological experience in at least one of the following areas: entrepreneurial principles, new ventures, business models, innovation
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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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-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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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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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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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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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