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team dedicated to advancing data-driven approaches to historical, linguistic, and cultural research. This post is part of the 5-year project Computational Corpus Annotation for Quantitative Analysis
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Linguistics, Natural Language Processing, or a closely related field or PhD near completion in Computational Linguistics, Natural Language Processing, or a closely related field* Demonstrated experience with
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team dedicated to advancing data-driven approaches to historical, linguistic, and cultural research. This post is part of the 5-year project Computational Corpus Annotation for Quantitative Analysis
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Linguistics, Natural Language Processing, or a closely related field or PhD near completion in Computational Linguistics, Natural Language Processing, or a closely related field* Demonstrated experience with
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the Computational Humanities research group, a vibrant and collaborative team dedicated to advancing data-driven approaches to historical, linguistic, and cultural research. This post is part of the 5
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skills and experience: Essential criteria PhD awarded in Computational Linguistics, Natural Language Processing, or a closely related field or PhD near completion in Computational Linguistics, Natural
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Based at University of York campus (with some remote working options available) The Department of Language and Linguistic Science is seeking a Postdoctoral Research Associate (PDRA) in Computational
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part of your personality: Completed doctorate/PhD in French linguistics; Focus on phonology; Experience working with corpora; Interest in a postdoctoral qualification in French linguistics; Language
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completed, or be close to completing, a PhD/DPhil in a relevant quantitative field together with a demonstrable track record in studying humans and machine learning models. Advanced programming and
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genomic variation and phenotypic traits, predict gene essentiality, and model evolutionary trajectories. The role involves using large language models as coding assistants for efficient pipeline development