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Associate: Hold a PhD in machine learning, computer engineering, applied mathematics, computational neuroscience, or a closely related discipline, or equivalent research, industrial or commercial experience
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on integrating machine learning with natural language understanding, including large language models, and maintains strong links to real-world applications in education, healthcare, and beyond. About the role
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(Research Assistant) or PhD degree (Research Associate) in computer science or a related area or equivalent experience. Familiarity with standard machine learning libraries/data analysis, specifically as
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the Imperial Small Vessel Disease group. You will learn and perform physiological assessments including transcranial Doppler and cardiovascular physiology, as well as MRI imaging studies including respiratory
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particular emphasis on preparing analysis-ready datasets that support downstream statistical and machine learning workflows. You will work closely with Dr Cynthia Sandor within a collaborative and
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machine learning model to rule out heart attacks in the emergency room, which has the potential to translate to large savings for healthcare systems in the world, (2) a computational modelling to assist in
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Vessel Disease group. You will learn and perform physiological assessments including transcranial Doppler and cardiovascular physiology, MRI imaging studies including respiratory gas challenges, as