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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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of cutting-edge machine learning and artificial intelligence research applied to health data science. The successful applicant will work with Dr. Andreas Karwath within the Centre for Health Data Science on
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that automate and optimize Amazon ad campaigns using AI and machine learning, including LLMs Apply knowledge in a way which develops processes suitable for application in industry. Integrate AI for Campaign
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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