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, transport processes, numerical modeling, and network theory. Familiarity with plant hydraulics (xylem/phloem transport), osmotically driven flow, and biomechanical modeling. Demonstrated experience in
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dynamics for shape change. A further aspect of the project is learning and calibrating these models from data using data-driven inference methods. Who we are looking for Required qualifications A doctoral
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methodologies and technologies; developing novel methods, new technology implementations (such as ML models) and high-level products; contributing to the development and curation of open data sets and tools
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on the development and application of advanced modelling and machine learning methods, and may involve the following areas: Dimensionality reduction. Data-driven methods for estimating dynamical models Data-driven
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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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simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis optimization. AI/ML methods development: Neural networks, graph neural networks (GNNs), generative
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methods, leveraging digital twins, data analytics, and reliability engineering. In parallel, the role includes project oversight responsibilities, supporting effective coordination of consortium activities
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fundamental problems in biology and work towards foundation models of biological systems and innovative AI-driven biotech applications. The Laboratory of Computational Biology in Leuven (www.aertslab.org ), led
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energy efficiency and intelligent systems for industrial applications. Based within the School of Engineering and Architecture, IERG develops and applies cutting-edge analytics, modelling, and decision
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learning, multivariate modeling, or data-driven approaches, as well as interest or experience in the integration of neuroimaging with genetic or transcriptomic data, is considered a strong merit. Prior