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Field
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PhD1: A MSc degree in Artificial Intelligence, Data Science or Computer Science; good engineering skills; affinity with AI. Experience in NLP/IR is a plus. Experience in conducting research is also a
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knowledge and to look beyond the borders of their own discipline. The research carried out at the Faculty of Science is diverse, ranging from artificial intelligence, computer science, mathematics, astronomy
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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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-)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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Erasmus MC (University Medical Center Rotterdam); Published 3 Nov ’25 | Netherlands | about 1 month ago
for synthetic data generation across diverse data types and clinical use cases. As a PhD candidate, you will conduct research at the intersection of clinical data science and artificial intelligence, with a
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high quality and robust integration. The PhD is situated in the Intelligent Data Engineering Lab and will be supervised by Dr. Jan-Christoph Kalo and Prof. Paul Groth. What you will do Your tasks and
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driving systems, and new methods for fusing sound with other sensor data for more robust environment perception through deep learning. We offer a fully-funded 4-year PhD position at the Intelligent Vehicles
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PhD thesis within the official appointment duration of four years. What we ask of you We are looking for a candidate with: an MSc in computer science, artificial intelligence or a related field a
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performance improvements as conventional scaling approaches its physical limits. This research is essential for future computing, artificial intelligence, and sensor technologies that will shape our digital
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degree in Artificial Intelligence, Computer Science, Mathematics, or related discipline; A strong interest in developing creative solutions to advance hyperbolic deep learning; A background in machine