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contribute significantly to the interdisciplinary and intersectoral nature of your PhD. Applicants should have a strong academic background in engineering, applied mathematics, physics, data science or a
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. For this PhD project, we expect candidates to have demonstrated experience or a strong interest in areas relevant to risk-based maintenance, structural modelling, and data-driven decision support for
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at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment Submitted applications will be
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