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will contribute to the development of a new simulation-based pre-training framework for building more robust and trustworthy machine learning-based clinical prediction models. Funded by the Medical
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society. For over two decades, OII has led the field in exploring how innovations such as generative AI, machine learning, algorithmic platforms, and autonomous systems are transforming economies
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the team. These include the use of Tensorflow, PyTorch and Python. You will work with large imaging datasets commonly used by the research team and will test the algorithms already developed by
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challenges, from reducing our carbon emissions to developing vaccines during a pandemic. The Department of Psychiatry is based on the Warneford Hospital site in Oxford – a friendly, welcoming place of work
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, closed-loop algorithm development, or clinical neuroscience is highly desirable. We are looking for someone with: Experience in real-time human data processing Advanced programming skills (e.g., Python
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frameworks, database architectures, and decision-support tools. The role also involves contributing to the design and implementation of AI algorithms, assisting in the development of research publications, and
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navigation algorithms and machine learning models on physical robot platforms. We are particularly interested in candidates with expertise in generative AI and curriculum learning applied to robotics, as
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technologies for patient benefit. The post holder will play an active role across components of the theme. We believe that integrating artificial intelligence (AI) algorithms and state-of-the-art monitoring will
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image data to infer brain aging and injury mechanisms; and iv) study the potential relationship between exposure to head impacts and the development of neurodegenerative diseases such as Alzheimer's
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movement; (iii) generate benefits for both society and the environment by guiding possible mitigation strategies; and (iv) drive technological progress through the development of novel algorithms