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knowledge of wireless communications, and signal processing. You have at least intermediary knowledge of machine learning algorithms, including federated learning, split learning, and graph neural networks
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Number BAP-2025-545 Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD is part of the Marie Skłodowska-Curie Doctoral Network “MAGNIFY” and aims to tackle
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. For more information, please visit our website: www.uni.lu/snt-en/research-groups/finatrax/ The selected candidate will be enrolled in the PhD program in Computer Science and Computer Engineering with
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are looking for a highly motivated and skilled PhD researcher to work on graph-based machine learning surrogates of wind energy systems. Our goal is to accelerate flexible fatigue load estimation
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to solve. In this PhD project, you will work on the characterisation of both spectrographs in the lab, and their commissioning at the observatory for MARVEL or in orbit after launch for CubeSpec. Furthermore
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information about the role, please contact Prof. Radu State Your profile Strong background in AI, machine learning, or multi-agent systems, ideally with interest in financial systems, decentralized ledgers
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-year PhD program. Your initial appointment will be for 2 years that will be extended for 2 additional years, provided satisfactory progression in the PhD program. Your salary is set by university
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Identities, Machine Learning/AI, and IoT/5G on organisations from both the private and public sectors. The group consists of doctoral and post-doctoral researchers from diverse backgrounds united in pursuit
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21 Aug 2025 Job Information Organisation/Company KU LEUVEN Research Field Chemistry » Heterogeneous catalysis Chemistry » Inorganic chemistry Chemistry » Physical chemistry Chemistry » Reaction mechanisms and dynamics Chemistry » Solar chemistry Chemistry » Structural chemistry Chemistry »...
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variable, even within the same family, making it difficult to predict the course of disease, provide accurate genetic counselling, or design effective therapies. This PhD project aims to better understand