54 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" positions at University of Antwerp
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microscopy image interpretation), biological and medical sciences (neuroscience and brain microstructure), and computer science (machine learning and artificial intelligence) to achieve a breakthrough in
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communications and sensing, 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. Position As a graduate teaching & research
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. You can work in a group as well as on your own initiative. You have knowledge in machine learning for vision. Hands-on experience with image acquisitions and different types of cameras (visible
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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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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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you obtain. The courses you will teach may include ‘Construction 1 & 2’ in the Bachelor Programme as well as ‘Advanced Construction’ and a research seminar in the Master Programme. Next to your teaching
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different disciplines, organize courses at the University of Antwerp and teach modules at the different universities in Flanders and during the FLAMES Summer School. The courses you will teach may include
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teaching on topics related to climate change. Your teaching role will evolve with the degree programs. You teach a limited number of course components, including parts of the Bachelor program Biology, the
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of their PhD theses. Education You will teach high-quality academic classes. You will teach the theory and theoretical exercises of the courses Physics I (1001WETFYS, 6 credits) and Physics II (1003WETFYS, 6