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data. YOUR TASKS UGent Crime Lab is looking for a full-time junior researcher with a quantitative background and knowledge of machine learning. You will contribute to an interdisciplinary research
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Educational Master – and conducts research across a wide variety of domains in each of these fields. The faculty’s vision can be summarized as: “With trust, in connection, through continuous learning.” The FPPW
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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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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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be analysed using network analysis and machine learning. Empirically, the project aims to understand what China, the US and Europe are doing to compete in semiconductors, cloud computing and space
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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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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
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disseminate their work in conferences Teach at undergraduate level (maximum 20 teaching units per yer) Publish academic output in the form of articles in scholarly journals Contribute to the activities
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. Opportunities for professional growth, networking, and interdisciplinary learning. Find out more about working at the University of Antwerp here . Want to apply? You can apply for this vacancy through
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, scATAC-seq), spatial transcriptomics and high-throughput imaging, thus a keen interest in learning single cell/spatial data analysis is critical. Your profile: You hold a PhD in Biology, (Bio)medical