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) scalable and robust Bayesian experimental design, b) information-theoretic active learning, and c) capturing uncertainty in deep learning models (including large language models). We proudly hold a Race
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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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of working with SQL, in AWS and its native tools would be of interest but not essential for the role. Knowledge of a statistical programming language, preferably R as it is desirable. The post holder will
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participatory social research, qualitative research methods and/or oral history are highly desirable. Language skills relevant to the Kenyan project areas are an added advantage. You will be expected to meet
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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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and/or oral 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
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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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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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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