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is increasingly planned, managed, and engineered. New research is needed to understand how such areas, and particularly their dynamic nature, influence perceptions and decision-making. The studentship
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industrial SBSP experts, the candidate will explore the nonlinear structural dynamics of LSSs to fully understand the complexity of their control. They will use this foundation to explore idealised and
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, the project will integrate these data into a predictive framework to assess how MNPs disrupt plankton community dynamics and the efficiency of the biological carbon pump. The research will provide
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temporal patterns across different neurons in the neocortical circuit and use them for closed-loop brain stimulation. By examining how these spatiotemporal dynamics relate to behaviour, you will develop new
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Data-driven predictions of dynamical systems are used in many applications, ranging from the design of products and materials to weather and climate predictions. Mathematical concepts from geometry
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ecology and associated fisheries. A gap in local knowledge/data and technical capacity to coordinate and deliver usable data tools was identified. This gap inhibits the dynamic understanding of the impact
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rivers are dynamic systems transporting sediment, wood, and nutrients. This disconnect can lead to underperforming flood assets, where sediment accumulation, blockage, or erosion reduces efficiency and
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evolutionary dynamics from cfDNA" under the guidance of Prof. Trevor Graham at the ICR. Please see https://www.icr.ac.uk/study-and-careers/phds-at-the-icr/our-phd-projects/detail/towards-non-invasive-monitoring
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significantly reduce the amount of vibration data to be stored on edge devices or sent to the clouds. Hence, this project's results will have a high impact on reducing the hardware installation and operation
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using nano-vibration detection and super-resolution imaging. Funded by the Royal Society APEX Award (with support from the Royal Society, British Academy, Royal Academy of Engineering, and Leverhulme