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Field
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, Machine Learning, NLP, Computer Linguistics, or a closely related field. The post holder will lead a cutting-edge innovation project that aims to revolutionise the non-catastrophe insurance market by
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that seek to understand the actions of biological molecular machines. This post is fixed term for 12 months with the possibility of an extension subject to funding What are you going to do? In this centrally
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close to completion of, a PhD/DPhil in molecular and cellular neuroscience, or equivalent • Knowledge of the cell and molecular biology mechanisms of Parkinson’s disease, or related neurodegenerative
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Applications are invited for a Research Associate* position in the intersection of machine learning and information theory. The successful candidates will be based within the Information Processing
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of machine learning techniques to build predictive models for outcomes such as joint replacement; Mendelian Randomisation studies utilising genetic data in UK biobank and other cohorts to establish whether
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microbiome supplement essential micronutrients to the human body? To answer these questions, the postholder will be primarily working with metagenomic data from diet interventions, using machine learning
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in relationships with external stakeholders that advance knowledge exchange, public understanding and outreach. The ideal candidate will integrate computational methods such as machine learning with
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, including those controlling the vocal cords, leading to issues like vocal fold paralysis, hoarseness, or vocal strain. This partnership aims to develop novel machine learning solutions that detect Type 2
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(AI) and machine learning (ML) could greatly change how doctors diagnose and treat cancer. One important part of this process is looking at pictures of tissue samples (called histopathology images
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of the Surrey Institute for People-Centred AI (PAI) at the University of Surrey, a pioneer in AI technologies for the creative industries (including vision, audio, language, and machine learning), and