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PhD Candidate in Exposomics, Machine Learning and Artificial Intelligence Faculty: Faculty of Veterinary Medicine Department: Department Population Health Sciences Hours per week: 36 to 40
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. To fully understand these developments, this project explores the processes underlying reading and reading education, and examines how recent advances in artificial intelligence, particularly generative AI
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reading and reading education, and examines how recent advances in artificial intelligence, particularly generative AI, are reshaping them. As a PhD candidate you will contribute to this research project by
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recognise yourself in the following qualifications: a Master’s degree in Computer Science, Artificial Intelligence, Information Science or related field; interest in conducting research in the field
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-in-modelling-and-r… Requirements Specific Requirements A (near-)completed MSc degree in Artificial Intelligence, Computational Linguistics, NLP, GeoInformatics, Geography, Geoscience, or a related
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recognise yourself in the following qualifications: a Master’s degree in Computer Science, Artificial Intelligence, Information Science or related field; interest in conducting research in the field
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-)completed MSc degree in Artificial Intelligence, Computational Linguistics, NLP, GeoInformatics, Geography, Geoscience, or a related field; experience with natural language processing (NLP), language modeling
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programme, you work in an interdisciplinary team with researchers from the fields of linguistics, psychology, and artificial intelligence. You receive assistance from student assistants in data collection and