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flow modelling and simulations Responsibilities and qualifications The nature of these projects suggests that you should have a strong interest in interdisciplinary research, including coupled physical
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linked data Sensors as part of Internet of Things (IoT) and integration of sensory information in simulation models as part of Digital Building Twins (DBT) during run-time Life cycle and sustainability
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primarily experimental, complemented by numerical modeling, and will be carried out within the “Fiber Optics, Devices, and Nonlinear Effects” group at DTU Electro. As a PhD student, you will be part of a
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, stability and thereby reliability. In the process of getting to the results, it is envisaged that a number of sub-results can be produced: flow metrics and simulation models specifically tailored for AWE; a
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inference in the proposed models using advanced statistical and computational approaches, including Bayesian methods and other simulation-assisted methods, Design, implement and conduct immersive virtual
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. Responsibilities and qualifications Conduct original research on AWES flow environment, control systems, & simulation. Develop & validate AWES models for flight dynamics and energy harvesting efficiency. Participate