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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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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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. More specifically, the PhD position will look towards connecting different advanced software tools (of multi-physics and data-based models) simulating the metal AM process & microstructure with
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candidate will be enrolled in one 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
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), the platform will provide neutral information services, online hearing tests, aftercare tools, and follow-up recommendations in an integrated, user-friendly manner. OSCAR includes the following project partners
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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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are more than welcome to contact us. You will find contact persons at the bottom of the jobpost. Further information Read more about our recruitment process here. The assessment of candidates
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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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consist of a series of questions based on the application materials. Further information We recommend that you save a copy of the job posting, as it will be removed once the application deadline has passed
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utilize a large dataset including cardiac CT scans from ~100.000patinets and significant part of the project will include data c. The PhD position is located in Aalborg, and the candidate will be a member