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Field
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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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Devices (QCD) group at the Department of Applied Physics. In this position you have a chance to make history by demonstrating some of the first experiments of the future quantum-computer technology that is
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. You supervise students. This is part of your personality: Completed PhD in psychology, behavioral science, human-computer interaction, public health, or a related field. Quantitative research skills
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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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Contract Type: Fixed Term (36 months) This Knowledge Transfer Partnership (KTP) project will harness Data Mining, Multi-modal Data Analytics, Machine Learning, and bespoke Generative-AI tools with the aim
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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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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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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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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