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Field
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appropriate C7 Self-motivation, initiative and independent thought/working C8 Problem solving skills including a flexible and pragmatic appropriate Desirable: D1 A background in machine learning as applied
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. MakingAI confronts the challenge of synthesizing these hybrid 'messy' data, by integrating artificial intelligence, particularly multimodal learning and machine reasoning, with Technical Art History
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survival is shaped by resource availability, competition, and cultural knowledge of food resources. You will work with an established bioacoustic dataset, a validated call machine-learning classifier, and a
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teams in this dynamic field. About the Role You will: Teach across specialist areas of Creative Writing and contribute to the wider undergraduate and postgraduate English and Creative Writing curriculum
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, including machine learning, for process optimisation; Support training and knowledge sharing on Coretech automated chemistry systems; Contribute to scientific documentation, including reports, papers, and
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and Neumora (https://neumoratx.com ), funded by the Michael J. Fox Foundation, to test novel therapeutics targeting lysosomal function in Parkinson’s disease. The role will use phenotypic analysis
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partners. Collecting and managing acoustic recordings, images, and behavioural data from broilers. Analysing vocalisation patterns, images and behavioural indicators using machine learning tools. Cleaning
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in neuroimaging, applied data science and/or machine learning are desirable. Funding & how to apply The scholarship will fund course fees up to the value of home fees*, a tax-free stipend in line with
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and machine learning. Topics of interest in this area include, but are not limited to: natural language processing, large language models, graph learning, prompt engineering, knowledge graphs, knowledge
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with excellent organizational and collaborative skills, is essential. In this role, you will undertake a collaborative research project between the University of Oxford and Neumora (https://neumoratx.com