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of Computer Science, Section for Copenhagen, Natural Language Processing The Department of Computer Science at The Technical Faculty of IT and Design invites applications for four fully funded PhD stipends in the area
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Wales, meaning most paediatric records are handwritten and unstructured. The project will prioritise digitising these records using natural language processing (NLP) and machine learning (ML) to create
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The project will prioritise digitising these records using natural language processing (NLP) and machine learning (ML) to create structured datasets. These will support AI applications in paediatric care
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https://www.uni.lu/snt-en/research-groups/trux/ . The successful candidate will: Conduct cutting-edge research in multimodal and multilingual natural language processing Develop and curate multimodal
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Max Planck Institute for the Physics of Complex Systems • | Dresden, Sachsen | Germany | about 7 hours ago
Full-time / part-time full-time Programme duration 6 semesters Beginning Other Additional information on beginning, duration and mode of study Flexible, but usually in spring or autumn Application
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sciences and build an interdisciplinary network of experts on the environment. To this end, the scholarships help finance doctoral theses which clearly address topical environmental protection and nature
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must provide proof of excellent English skills: TOEFL 550 (paper-based), 213 (computer-based), 79 (Internet-based) or equivalent. Application deadline The application deadline has not yet been determined
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paid PhD position in the area of Natural Language Processing starting as soon as possible. Your responsibilities Research & development projects in the area of NLU and NLG Contribution to teaching on
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evolution, with the aim of unravelling the nature of biological intelligence. World class scientific research work is at the core of the IMPRS-BI mission. We offer an English-speaking, structured PhD
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science. The PhD students are supervised by a supervisory panel consisting of a panel chair, a professor from the natural sciences and a professor from information/computer/mathematical science. The DASHH graduate