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strong background in wireless and mobile networks, as well as machine learning, ideally with exposure to Reinforcement Learning (RL) or decision-making agents. You have an interest or background in network
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of virtualizing and forecasting the evolution of the radio-electric environment. In the second phase, the candidate will investigate machine learning and AI-driven algorithms for NTN channel prediction, enabling
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surgical outcomes. You will work on the development of machine learning algorithms that analyze thermal data and predict vascular performance, significantly contributing to the automation of medical imaging
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knowledge of developing AI-based information systems, such as AI-enabled engagement e.g., agentic AI and AI-enabled insight generation e.g., machine learning analytics in both individual and organizational
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20 Jun 2026 Job Information Organisation/Company Ghent University Research Field Engineering » Computer engineering Engineering » Electrical engineering Engineering » Other Researcher Profile
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About us VIB.AI, the VIB Center for AI & Computational Biology, is a research center dedicated to integrating machine learning with deep biological insight to understand complex biological systems
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in AI (machine learning, neural networks, reinforcement learning, dynamic modelling and/or Bayesian inference). You have experience in software development with solid knowledge of one or more