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work actively on the preparation and defence of a PhD thesis in the crossroads between the fields of robotics, signal processing and machine learning The candidate will explore how graph-based
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of Applied Engineering is looking for a full-time (100%) doctoral scholarship holder in the field of in-air acoustic sensing and applied machine learning for building the next-generation of intelligent robotic
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), user interface design, or data visualization techniques. Familiarity with frameworks for explainable machine learning (e.g., SHAP, LIME, Captum, Alibi). Experience in designing context-aware, adaptive
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. You are fluent in Python, machine learning, and deep-learning tools (e.g., TensorFlow, PyTorch). You can speak and write fluently in English. A background in hydroclimate extreme event analysis is
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, trustworthy, and fully explainable. The project introduces Generative Learning Cognitive Services (GLCS), intelligent, modular CPS components combining generative eco-cognition, cognition-oriented proactivity
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to substantive political science questions. You have strong skills in automated text analysis and natural language processing (e.g., machine learning including neural networks, relation and entity extraction
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. Kinetic rates will be calculated on the fly from molecular dynamics simulations using machine learning potentials. This approach will provide guidelines to steer the formation process of zeolites by tuning
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knowledge of wireless communications, and signal processing. You have at least intermediary knowledge of machine learning algorithms, including federated learning, split learning, and graph neural networks
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to model zeolite formation as a dynamic network of growing and dissolving clusters. Kinetic rates will be calculated on the fly from molecular dynamics simulations using machine learning potentials
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research on wireless sensing and communications, and a GPU Lab for training of advanced machine learning models. IDLab is both part of the University of Antwerp and the research centre imec. The University