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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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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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for a: PhD Candidate in Emotionally and Socially Aware Natural Language Processing (1.0fte) Project description Current Natural Language Processing (NLP) systems, and especially large language models
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The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for a: PhD Candidate in Emotionally and Socially Aware Natural Language Processing (1.0fte) Project
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Apply now The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for a: PhD Candidate in Emotionally and Socially Aware Natural Language Processing (1.0fte
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working on NLP for medical applications (see German version below / siehe unten für Deutsche Version) . Your Responsibilities Conduct applied research at the intersection of Natural Language Processing (NLP
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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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Degree PhD, Dr forest, or Dr rer nat (doctoral studies with a focus on natural sciences) Course location Göttingen Teaching language German English Languages Courses are usually held in English. The
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Bonn, Medical / Mathematical and Natural Sciences Faculties; German Center for Neurodegenerative Diseases (DZNE) Description: The Research Training Group (RTG) “Development and epileptogenesis
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Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute • | Jena, Th ringen | Germany | about 2 hours ago
molecules involved in these processes. We utilise our findings to develop new diagnostic methods and anti-infectives based on natural products. The ILRS PhD projects try to answer these intriguing questions