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research with real industrial practice. You will work on asset-heavy cases from sectors such as energy, manufacturing, and process industries, where maintenance is not just about fixing breakdowns but about
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. Collecting and analyzing data from a full-scale (150 kWh capacity) pilot installation at DTU. Developing a computer model (“digital twin”) that link physical experiments with advanced control and operation
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are intricately linked to the electronic configurations of the f -element ions, and any modifications in these configurations result in dramatic changes in their physical and chemical properties. The aim
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for doctoral networks, applicants must NOT yet have a PhD. You must have: A Master’s degree and/or BSc degrees in Chemical Engineering, Physics, Chemistry, Materials Science, or related disciplines. An aptitude
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PhD scholarship in Corrosion Mechanisms of Power Semiconductor Device and Components - DTU Construct
thermal energy systems. The research under the section of Materials and Surface Engineering is multi-disciplinary and covers materials science, chemistry, physics, solid mechanics, and manufacturing
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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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applied research, along with a thorough understanding of the process involved in transitioning from basic to pre-clinical research. Research training periods in another consortium member's lab lasting from
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compounds from seaweed. The goal is to advance sustainable separation technologies through green solvent design and process intensification. As part of the Alliance PhD programme, you will also spend 3–6
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therefore increase the energy efficiency of the process. This PhD project aims to get an in-depth analysis of the potential of coupled photonic resonant circuits for optical computing. The project will
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equivalent to a two-year master's degree in mathematics, physics, computer science, electrical engineering or closely related fields with a focus on computer vision, machine learning or robotics A strong