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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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to develop improved models for predicting neurotoxicity. Neurotoxic chemicals interfere with the normal development and function of the nervous system, leading to a range of adverse consequences. Traditionally
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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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short- and long-term demand prediction, renewable generation forecasting (solar, wind, hydro) under uncertainty, spatiotemporal modeling for distributed energy systems, energy markets, transfer learning
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discipline. Demonstrated expertise in clinical and biomedical NLP, including both predictive modeling and generative applications using foundation models Hands on experience building end to end ML systems
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anatomical modeling with mechanistic physiologically based pharmacokinetic (PBPK) models, enabling simulation of radiopharmaceutical distribution at sub-compartment level. By integrating high-resolution
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technology. Development of cutting edge foundation models for protein design, small molecule property prediction, or protein function prediction Data generation and curation, including molecular simulation and
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description CRSA - Postdoctoral research fellowship: “Developing Advanced Weather Prediction Models for Agricultural
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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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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