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), sensing technologies (fiber-optic sensors, DIC), and computer science (machine learning tools). The aim of this Ph.D. project is to develop a novel bridge monitoring technique based on CLCE coating
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conducts research on the application and the impact of digital technologies like DLT/Blockchain, Digital Identities, Machine Learning/AI, and IoT/5G on organisations from both the private and public sectors
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discipline The ideal candidate should have some knowledge and/or experience in several of the following topics: Optimisation algorithms Machine learning algorithms Swarm intelligence Algorithmics Parallel
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activities and promotes active contributions to international standardisation efforts. As a part of this collaborative research programme, you will join as one of three PhD candidates working on interconnected
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) Optimisation algorithms (Quantum) Machine learning algorithms Algorithmics Parallel/Distributed computing Technical standardisation Strong analytical and programming skills (e.g., Python and C/C++) are essential
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, mMTC and URLLC Machine learning/deep learning techniques and Artificial Intelligence for wireless communications Reinforcement learning, active learning, transfer learning, federated learning and
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supervision committee of three experts for every student A topic of broad interest for the machine learning and neuroscience communities How to apply... Applications should include: Curriculum Vitae Cover
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software tools Machine learning is a plus Strong analytical and programming skills are required (Python, Matlab, and C/C++). Prior proven experience in data-driven innovation projects is an asset as
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digital technologies like DLT/Blockchain, Digital Identities, Machine Learning/AI, and IoT/5G on organisations from both the private and public sectors. The group consists of doctoral and post-doctoral
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? Are you passionate about research? Do you want to get a PhD in an emerging field that will impact the future? Do you want to join one of the world-leading groups for theoretical research in functional