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Development of electromagnetic measurement techniques Interaction with relevant industrial partners As a PhD candidate at DTU, you will take part in an educational program of 30 ECTS tailored to your needs
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. Developing a computer model (“digital twin”) that link physical experiments with advanced control and operation strategies. The model will be utilized for techno-economic investigations regarding flexible
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programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Kristoffer Almdal and Søren Kramer. We offer DTU is a leading technical university
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the development of advanced computational multiphysics models of stress corrosion cracking and coupling these with process-microstructure models (being developed within MicroAM project). Main focus will be
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general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applications will be made by Associate Professor Gunvor M. Kirkelund and
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to maintenance Collect and analyze industrial case data in energy, manufacturing, or process sectors Develop conceptual and computational models linking operations and maintenance Validate frameworks in
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PhD scholarship in Corrosion Mechanisms of Power Semiconductor Device and Components - DTU Construct
. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . We offer DTU is a leading technical university globally
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our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Professor
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fluorescently label CTCs, enabling precise isolation and downstream single-cell analysis. Using state-of-the-art Orbitrap mass spectrometry, automated sample preparation, and computational integration with
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Bioengineering aiming to design novel Carbohydrate-Active enZymes (CAZymes) de novo (from scratch). Using state-of-the-art AI-based protein design tools, the project integrates computational design with in vitro