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Enrolment The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment
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porous carbon electrodes developed in the network. You will leverage advanced data analysis methods such as Distribution of Diffusion Times to obtain insight into mass transfer and microstructural effects
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The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the
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within the consortium. Provide data driven insights to guide the development of eco-friendly membrane technologies. Collaborating with fellow researchers across the UP2MEM network Participating in
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Kontogianni. Our research explores how intelligent systems can perceive, understand, and interact with the 3D world. We develop new methods in computer vision, machine learning, and multimodal 3D
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science, mathematical modelling, data science, transport behaviour, or related fields? Then this PhD position might be the right for you. Ensuring sustainable mobility in dense urban areas is a big challenge faced by
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programmes 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 The assessment
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empirical studies, analyze qualitative and/or quantitative data, and disseminate findings in leading international journals. The position therefore requires solid methodological skills, strong communication
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well as synchrotron X-ray sources. By obtaining multi-scale (spatial resolution as well as time-resolution) information about the transformation dynamics in zinc-air electrodes and follow quantitatively
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Job Description Are you passionate about transforming food safety through cutting-edge technology and want to apply your data science and AI skills to real-world public health challenges? This is