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cross-functional teams to translate data requirements into Lakehouse-integrated solutions. Build and maintain data models, integration workflows, and transformation processes supporting analytics and
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mitigation strategies, such as selective yaw control and power down-regulation of wind turbines. Use experimental, field, and numerical data to validate, improve, and develop fast analytical wake models
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–Stokes equations, fluid–structure coupling laws, and electromagnetic forward models to map sensor fields to flow and solid dynamics. • State Observer Development: Infer object position, vibration modes
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to early-stage efforts focused on muscle biology and inflammatory disease. The successful candidate will apply their expertise in murine models and immunology to explore disease mechanisms, validate novel
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of the project] * Background of the recruitment and description of the project Our team currently includes one senior research scientist who is responsible for the development of hydrological models
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-generation wind turbine components, including blades enhanced with adaptive meta-materials. You will work on modelling the sources and propagation of uncertainties arising from material behaviour, aerodynamic
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-0831 Description of Work: At the Digital Twin Innovation Hub, we are developing infrastructure for the construction, simulation, analysis, and visualization of a human immune system model that represents
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of research this position is engaged in: The Bowen lab leverages wide-scale neural recordings, predictive modeling, and continuous glucose monitoring with the goal of building foundational integrated (“multi
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Professional Practice Model. Care is directed towards the achievement of positive patient care outcomes, maximizing the patient and family involvement in their own plan of care, increasing efficiency and