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of government documents: single-case decisions from Dutch governments. The project will combine ideas and methods from Natural Language Processing (NLP) and machine learning and will be led by Prof
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24 May 2024 Job Information Organisation/Company CNRS Department Laboratoire Interdisciplinaire des Sciences du Numérique Research Field Engineering Computer science Mathematics Researcher Profile First Stage Researcher (R1) Country France Application Deadline 17 Jun 2024 - 23:59 (UTC) Type of...
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A Corp Lab in NTU is looking for a Research Engineer I or II to conduct advanced research in Natural Language Processing (NLP) and Generative AI, with a focus on developing a comprehensive knowledge
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Applications are invited for the post of Research Associate/Fellow specialising in Biomedical natural language processing (NLP), to work in the School of Medicine, University of Nottingham. The role
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the accessibility of free-text clinical reports for supplementary use. This project aims at implementing Natural Language Processing (NLP) techniques to free-text clinical records in Oral Medicine and Orthodontics
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Associate/Fellow specialising in Biomedical natural language processing (NLP), to work in the School of Medicine, University of Nottingham. The role is funded by EU HORIZON and UKRI through the ‘CoDiet
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language processing (NLP) skills; - Solid data science foundations; - Ability to use statistical software applications (R and Python are mandatory) to develop analytical tools and predictive models; - System
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capabilities and techniques, including natural language processing (NLP), machine learning (ML), foundational or large language models (LLM), computer vision (CV), frameworks for building and evaluating
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and prior distributions, something that has seen limited exploration and adds a novel perspective to the field of PK/PD modelling. Existing Natural Language Processing (NLP) pipelines, developed at UCL
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novel perspective to the field of PK/PD modelling. Existing Natural Language Processing (NLP) pipelines, developed at UCL, will be used to collate PK/PD parameter prior distributions and ML guided PK/PD