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others. Implement signal-quality analysis to ensure the reliability of PPG measurements in various monitoring scenarios. Collaborate with cross-functional teams to integrate signal processing solutions
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detection framework for tipping points. Contribute to the design of scalable and interpretable forecasting strategies for large climate simulators, integrating adaptive sampling and Bayesian techniques
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was established in 1831 and has played an integral role in the life of King's since the university was formed almost 200 years ago. King’s has been in service to society since its foundation and we’re proud
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explores novel aggregation methods at the intersection of AI safety, computational social choice, and judgment aggregation, aiming to formally integrate multi-stakeholder preferences into AI system design
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original research on the grid integration of second life battery storage systems. The research will bring together second-life battery modelling, power system optimisation and technoeconomic evaluation
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aims to address challenges of personalised dementia care planning involving people without informal carers, with a focus on integrating primary and social care support. The post is part of a large multi
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: To classify integrable field theories, including those appearing in string theory. To uncover the universal algebraic structures of integrable models. To construct new integrable instances of gauge/gravity
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network telemetry, and the implementation of new hardware support mechanisms. Your role will include the design, implementation and evaluation of different parts in the system, and the integration with
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hardware support mechanisms. Your role will include the design, implementation and evaluation of different parts in the system, and the integration with other partners in the project. About you You should
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: To classify integrable field theories, including those appearing in string theory To uncover the universal algebraic structures of integrable models To construct new integrable instances of gauge/gravity