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methods into a vibroacoustic finite element and boundary element framework, aimed at facilitating fast and efficient broadband frequency sweeps. Develop an adjoint gradient estimation method, based
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at facilitating fast and efficient broadband frequency sweeps. Develop an adjoint gradient estimation method, based on the reduced vibroacoustic models, Utilize the method to perform shape optimization of broadband
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already have an education equivalent to a relevant Danish master’s degree Qualifications needed To be eligible for the regular PhD programme, you must have completed a degree programme, equivalent to a
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on integrating AI technology and data-driven models across metabolism, bioprocess, and the economy to develop a robust data science infrastructure for improving the sustainability footprint of bioprocess. DTU
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the Universities and Certain Higher Artistic Educational Institutions. According to the Ministerial Order, the progress of the PhD student shall be assessed at regular points in time. Shortlisting will be applied