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Monitoring Duties & Responsibilities: Build early warning and clinical deterioration prediction models Develop continuous clinical risk trajectory modeling frameworks Model time-series data such as vitals
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a passionate community collectively aiming to bring novel technologies and science to cutting-edge numerical weather prediction. ECMWF has been the first operational weather centre globally to
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on stability. Testing the model in standard stirred tank apparatus Refining the model to allow predictability between different types of apparatus. Defining an algorithm for testing enzyme stability
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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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lack the tools to predict the impact of industrial processes on natural biological diversity, thereby limiting our ability to conserve critical resources and the services they provide. One of the main
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size and density approaches. Demonstrated experience in infrared spectroscopy of soils and use of multivariate statistical models to predict soil properties. Experience in process-based models
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characterisation and heat-transfer measurements, and development of model-predictive control algorithms for dynamic charge–discharge operation. The postholder will support prototype fabrication, instrumentation
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can support prediction of many different clinical outcomes at once. To fuel your models, you will have access to one of the largest multicentre ICU resources to date (~1M patients, ~33B clinical events
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and observation models to reflect real-time changes in environmental conditions, enabling more accurate predictions of adaptation impacts and thereby supporting a better-informed, resilient decision
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and proven expertise in leading predictive modeling, data warehousing, and the deployment of self-service reporting tools and dashboards. 5+ years of senior-level management experience leading large