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Non-terrestrial networks(NTN) are expected to be the key component of future 6G systems. In NTN networks, low Earth orbit satellites, drones, and high-altitude platforms will take the role of space
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for a Professor to address automated decision-making in such highly complex environments which are dynamic and subject to continuously changing and uncertain conditions. Ensuring high performance in
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shorter formats Have relevant network and collaboration experience working across Danish Universities in general and at DTU in Particular Bring knowledge and insights in youth engagement formats together
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Skip to main content. Profile Sign Out View More Jobs PhD scholarship in Neural Networks-based X-ray Tissue Imaging for Robotic Automation – DTU Compute Kgs. Lyngby, Denmark Job Description Are you
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of Denmark, focused on leveraging AI to develop a new generation of Machine Learning (ML)-based approximators to simulators. Such a technology will dramatically accelerate existing complex simulation models
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project champion Network alumni and ecosystem: Develop and continuously maintain good relations to a wide variety of ecosystem members and stakeholders Engage alumni network in post program activities and
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, complex question several research approaches may be used in various combinations, e.g., statistical, and process-based plant diversity and vegetation modelling, remote sensing, meta-analyses, existing
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techniques and grid fault detection and localization is also highly relevant to assess. In this project we target to investigate how to use explainable AI in relation to address the more complex issue of
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. The fellowship is part of the European Marie Skłodowska-Curie Actions (MSCA) Doctoral Network “B-ACTIVE”. The position is 36 months and funded by the European Union’s Horizon Europe Research and Innovation
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bioinformatics for our international network Some travel activities may be expected. Our expectations of you As a formal qualification, you must have a master’s degree in bioinformatics or equivalent. Preferably