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experiments. Creating computational and analytical models to match experimental data. Fabricating and testing novel medical sensors technologies. Basic Qualifications Ph.D. in biomedical engineering, medical
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by Renew Risk Ltd. (https://www.renew-risk.com/ ), offering opportunities to work with real offshore wind farm models and industrial datasets while addressing real-world challenges in collaboration
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Romana nr.6 sect.1Geofield Contact State/Province Bucharest City Bucharest Website https://resurseumane.ase.ro/non-gaussian-self-similar-processes-enhancing-mathematical-tools-and-financial-models
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captured from UAVs. The research will address the design of AI models capable of combining heterogeneous sensor modalities, including RGB, thermal, LiDAR, acoustic arrays, GPR, and X-ray backscatter
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from this PhD project into an agent-based model. This model will be developed by other PhDs in the project team and simulates household adaptation behaviour over time in global flood-prone regions
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and adaptation modelling system. You will develop approaches in four case study areas (Rhine, Mekong, Pungwe, Upper Mississippi) and subsequently upscale to the global scale. You have the interest and
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https://www.nist.gov/programs-projects/pipeline-safety to learn more about our facilities and current research. Radiation; Metallurgy; Materials science; NDE; Modeling; Fracture; Fatigue; Corrosion
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that requires tightly integrated approaches combining control, learning, and uncertainty quantification. This project develops a data-driven control framework grounded in first-principles models, with emphasis
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-radiative (CR) models coupled with non-intrusive measurements of emission spectra of the plasma (1,2). This approach is appealing because it makes it easier to obtain a detailed description of the plasma. In
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. These metrics will be translated into training models and curricula, enabling objective, proficiency-based progression and standardized skill acquisition. The project aims to establish reliable, objective metrics