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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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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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Job Description If you are passionate about advancing the frontiers of process mining and data-driven intelligence, and you want to build your career in one of the fastest-growing research areas
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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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of the general degree 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
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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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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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language models and structural data. Build systems biology frameworks to characterize time-resolved protease network activity during tissue repair. Validate identified biomarkers through targeted proteomics