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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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application of research ethics Experience with the use of computing servers Desirable Criteria Experience fine-tuning large language models (e.g., BERT, BioGPT, MedPaLM) for clinical NLP tasks. Experience with
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, in natural science and/or social science domains. Candidates should possess a PhD (or be near completion) in PhD in Computer Science, AI, Security, or a related field. You will have a Strong background
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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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the use of computing servers Desirable Criteria Experience fine-tuning large language models (e.g., BERT, BioGPT, MedPaLM) for clinical NLP tasks. Experience with cloud or distributed computing environments
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with the possibility of renewal. This project addresses the high computational and energy costs of Large Language Models (LLMs) by developing more efficient training and inference methods, particularly
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to self-supervised learning, medical imaging, and population-level phenotyping. About You You will have or be close to the completion of a relevant PhD/DPhil (e.g. in Computer Science, Engineering, or
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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