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at www.es.aau.dk. Your work tasks This PhD project is part of a bigger Novo Nordisk Foundation (NNF) New Exploratory Research and Discovery grant entitled: Information Theoretic Disentanglement of the Exceptional
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, computationally efficient gas radiation models suitable for CFD implementation Perform accurate CFD simulations of green fuel combustion in a CVCC and validate the CFD by detailed experimental data to be provided
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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 general planning
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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 The assessment
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. For more information about the department, please visit the website. Be part of a large-scale international project We are looking for a talented and motivated PhD student for the EPHEMERAL research project
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Master's program in Environmental Engineering and is involved in both the Bachelor's and Master's programs in Energy Technology and Integrated Design and Sustainable Product Development. For more information
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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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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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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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with leading Danish and European companies, as well as international academic partners. The AI4OR group addresses complex, high-impact problems requiring advanced modelling, data analysis, and