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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
for predictive modelling and state estimation for fundamental applications within physical sciences. Your role The main research responsibilities involve building cutting edge machine learning techniques
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execution models towards designing the next-generation unified cloud stack. CloudNG has a strong emphasis on performance and performance predictability, sustainability, seamless accelerator integration, and
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communication skills are also required. Desirable attributes include experience with PCM systems, bioenergy, IoT-based control, model predictive control, digital-twin development, prototype commissioning
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Kogias as part of his ERC Starting project titled CloudNG (https://cordis.europa.eu/project/id/101220079 ). The post will be based in the Department of Computing at Imperial College London at the South
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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