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Professor Michelle Sheehan in the School of English Literature, Language and Linguistics at Newcastle University, in collaboration with Professor Sonia Cyrino, State University of Campinas, Professor Adam
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language. Experience in working across different spatial scales and working with Geographic Information System will be highly desired. If you would like further information or an informal discussion about
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Departments This placement is for two fixed-term, full-time Post-Doctoral Researchers (ASR-Senior Research Officer), one in the Department of Government and one in the Department of Language and
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history are highly desirable. Language skills relevant to the Kenyan project areas are an added advantage. You will be expected to meet regularly with other project members and travel to Kenya for field
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principally requires expertise in Python programming and strong experience in software development and deployment. Prior experience developing AI applications using large language models would be beneficial. A
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language. Experience in working across different spatial scales and working with Geographic Information System will be highly desired. If you would like further information or an informal discussion about
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FTE: 0.2 fte (working 7.4 hours per week) Duration of Contract: Fixed term for 3 years Salary: UH7 £37,099pa pro rata to £44,263pa pro rata by annual increments on achieving designated skills and experience Annual Leave: 35 days pro rata plus standard public holidays and an additional 4 days...
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financial language model. Endow the language model with statistical intelligence, facilitate online learning, and explain empirical findings to a human. This post is full-time (35 hours per week). Your skills
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offer, however please note that some on campus working is required. Your skills and attributes for success: PhD in Linguistics or a related discipline (completed, or submitted and awaiting examination
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the public with access to personalised content summarisation and content authenticity verification services. The project will be based on the Large Language Models (LLM) and the state-of-the-art diffusion