120 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" PhD scholarships in Belgium
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD position in Bioprocess Technology for the Malting and Brewing Industry. Details: https
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solutions. For more information, please visit: https://www.uhasselt.be/dsi Where to apply Website https://www.uhasselt.be/en/about-hasselt-university/working-at-hasselt-universi… Requirements Research
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processing, or networking (preferred). You have strong background in machine learning or deep learning (experience with deep learning frameworks such PyTorch and TensorFlow is a plus). You have solid
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17 Mar 2026 Job Information Organisation/Company KU LEUVEN Department Engineering science Research Field Engineering » Industrial engineering Engineering » Computer engineering Computer
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Intelligence (AI) and Machine Learning (ML) capabilities into distributed cloud-edge infrastructures to enable autonomous and efficient network/service management. The PhD candidate will investigate innovative
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-impact weather A dedicated computer scientist/software engineer works alongside you to set up ICON-CLM on the HPC systems, support simulations and manage large data volumes—so you can focus on the science
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affected by warping, addressing both audio analysis and synthesis tasks. The methodological scope spans stochastic signal processing and machine learning, including hybrid physics‑guided and data‑driven
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the domain of Professional Training & Development & Lifelong Learning at O2L, we are looking for a PhD candidate with an interest in adult education and lifelong learning. Specifically, you will contribute
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: Shape the future of immersive visual technologies through optical, computational, and machine‑learning innovation. We are a university research group at imec-VUB in Brussels, with expertise in optical
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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