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. The aim of project is the safe integration of machine learning methods within the biopharmaceutical development process. This project offers an opportunity to be at the forefront of interdisciplinary
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have strong expertise in developing and implementing cutting-edge machine learning algorithms in Python and associated ML/AI libraries. Educated to PhD level, or near to completion, in (Health) Data
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. As systems and processes increasingly integrate machine learning components, whose behaviour can be unpredictable, ensuring their safety and alignment with expected outcomes is essential
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will also improve the efficiency with which P3s are detected with machine learning and will also explore alternative detection modalities, such as pupil dilation. More generally, the Research Fellow will
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. An intriguing possibility is that this variation could affect how children learn and perform in assessments. In this project, we will first establish how meaningful this variability is. We will address: How
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disciplinary boundaries Strong analytical skills and experience in developing and implementing machine learning/AI solutions using relevant languages and frameworks Excellent communication skills and proven