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Europe. The lack of an up-to-date, digital corpus is a glaring gap in the fields of both Epigraphy and Early Irish and means that this valuable resource is neglected in research on the language and history
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2 Year Fixed Term Contract The ADAPT Centre seeks to appoint a Post-Doctoral Researcher to work on a project involving the creation and utilisation of machine-readable semantics to assist with policy documentation, discovery, and enforcement workflows using LLMs. This project is a collaboration...
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Europe. The lack of an up-to-date, digital corpus is a glaring gap in the fields of both Epigraphy and Early Irish and means that this valuable resource is neglected in research on the language and history
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of Aden since the 1990s). It is expected that candidates will have linguistic competency in the most important languages associated with their case study. Comparative case studies are also welcome, but not
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, funds to purchase equipment for use on the project and additional research expenses will also be provided. Applicants for whom English is a second language will be required to meet English
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short stays such as holidays are not considered. Applicants must have working proficiency in English or be fluent in English. Applicants whose first language is not English may be required to provide
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learning with experience in Large Language models and/or conversational AI (intelligent chat bots) (desirable). • The core team is interdisciplinary therefore the candidate must work well in a team and adapt
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and Kubernetes, including the deployment and management of containerized applications. Proficiency in at least one programming language such as Python, Go, or Javascript. A demonstrated commitment to
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systems. Note that in the case where Large Language Models have been used to make important changes ("polishing"), such as rewriting whole paragraphs, content and/or code generation it needs to be disclosed
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Requirements Research FieldComputer science » Modelling toolsEducation LevelPhD or equivalent Skills/Qualifications • PhD in political science, data science, computer science and/ or computational linguistics