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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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and trustworthy machine learning-based clinical prediction models. Funded by the Medical Research Council (MRC) and the National Institute for Health and Care Research (NIHR), the project aims
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We are looking for an enthusiastic Postdoctoral Research Assistant to join our research groups “Predictability of Weather and Climate” and “Climate Dynamics” at the Atmospheric, Oceanic and
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Parks Road, Oxford, OX1 3PU We are looking for an enthusiastic Postdoctoral Research Assistant to join our research groups “Predictability of Weather and Climate” and “Climate Dynamics
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development of new computational and mathematical models to quantify and predict infectious disease risk, particularly for identifying high risk individuals and groups. The PDRA will translate conceptual
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Hopkins University (USA). About the role The PDRA will lead the development of new computational and mathematical models to quantify and predict infectious disease risk, particularly for identifying high
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University (USA), and Google Deepmind (London). About the role The PDRA will lead the development of new computational and mathematical models to quantify and predict infectious disease risk, particularly for
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processors. The candidates will contribute to topics including: The offline and online calibration of learning systems through methods such as conformal prediction, hyperparameter optimization, and reliable
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hyperparameter optimization and conformal prediction methods; The online monitoring of model reliability and performance indicators in dynamically changing environments; The integration of synthetic data from
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an excellent publication record. Solid research experience in one or more of the following topics is expected: Graph neural networks Optimization algorithms Predicting structured output Self-supervised learning