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Chemical Engineering in the Faculty of Applied Engineering is looking for a full-time (100%) doctoral scholarship holder in the field of machine learning for circular polyurethane design. Position You
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exposures and health risks; Interpretable and uncertainty-aware machine learning for heterogeneous health data. This position offers the opportunity to work in a multidisciplinary environment
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Brussels Humanities, Sciences & Engineering Campus (Elsene) will serve as your home base. 3 - Profile What do we expect from you? You hold a PhD in machine learning, artificial intelligence, computer
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intelligence, machine learning, and digital forensics. The successful candidate will join a research initiative conducted in close collaboration with a partner, with the aim of strengthening digital
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, networking, and signal processing. You have at least intermediate knowledge of machine learning algorithms. Knowledge of satellite communications, wireless sensing, radio propagation, optimization, or
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, integrity, creativity and cooperation. You have a strong interest in machine learning/artificial intelligence. You have experience with deep learning. You have experience with reinforcement learning
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policies . You act with attention to quality, integrity, creativity and cooperation. You have a strong interest in machine learning/artificial intelligence. You have experience with deep learning. You have
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qualities are in line with the faculty and university research policies . You act with attention to quality, integrity, creativity and cooperation. You have a strong interest in machine learning
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analysis, optimization, and machine learning techniques is a plus. Knowledge of machine learning libraries (e.g., PyTorch or TensorFlow), SDR hardware (e.g., USRP) and software (e.g., GNURadio
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genome analysis; You have a background in statistics, machine learning or data visualisation; You are familiar with Linux and high-performance computing environments; You have not performed any works