143 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "NORTHUMBRIA UNIVERSITY" scholarships in Belgium
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10 Apr 2026 Job Information Organisation/Company KU LEUVEN Research Field Computer science » Informatics Computer science » Computer architecture Researcher Profile First Stage Researcher (R1
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and mapping, light fields, extended reality (XR) technologies, sim-to-real, synthetic data generation, and advanced computer vision and machine learning techniques. In addition, the group works on
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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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. Position You will work actively on the preparation and defence of a PhD thesis focusing on machine learning-based forecasting of renewable energy production, with a particular focus on wind energy. The
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tracking and mapping, light fields, extended reality (XR) technologies, sim-to-real, synthetic data generation, and advanced computer vision and machine learning techniques. In addition, the group works on
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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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) recordings, based on machine learning and signal processing methods. The work involves machine learning for image processing, processing and decoding of EEG signals, and EEG data collection. - You should
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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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the program, including admission requirements and placement records, can be found at https://feb.kuleuven.be/ research/PhD/businesseconomics/Business The Department of Accounting, Finance & Insurance
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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