129 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" PhD scholarships in Belgium
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in machine learning or deep learning (experience with deep learning frameworks such PyTorch and TensorFlow is a plus). You have solid programming skills in Python. You have programming experience in C
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have strong programming skills in Python; You have knowledge of medical image processing, and machine learning and deep learning techniques; Written and spoken proficiency in (scientific) English is
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for next-generation (6G) communication systems. The project focuses on integrating Artificial Intelligence (AI) and Machine Learning (ML) capabilities into distributed cloud-edge infrastructures to enable
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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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people and the world in which they grow and learn. Current AI tools—often considered “black boxes”—are characterised by a critical idiographic–nomothetic discrepancy. They are trained on static, aggregated
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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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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