967 postdoc-in-distributed-systems-and-controls-"Multiple" PhD positions in United Kingdom
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landscapes and emerging stressors. With opportunities for field or semi-field studies and close collaboration with leading academic and industry partners, this project is ideal for candidates who want
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Distributed radar systems comprise a coherent network of spatially distributed sensors that can be independently transmitting, receiving, or both. By acting in unison, rather than in isolation
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This PhD studentship aims to transform how exercise rehabilitation is delivered for working-age adults living with multiple long-term conditions (MLTCs). Partnering with Chiron AI, an NHS-compliant
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for individuals living with multiple long-term conditions known as multimorbidity, and may lead to unnecessary polypharmacy. This PhD studentship aims to develop a Bayesian modelling framework to identify clusters
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resilience One of the essential networks for society is water distribution networks. The delivery of water to the customers is affected through different threats to the system. These include: failure
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-terminal scheme configurations with various combinations of DC voltage controlling stations (including droop control, both single and multiple droop) and active power controlling stations. The multi-terminal
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Methods Recent storms have exposed the vulnerability of power systems, creating pressures at local distribution and national transmission levels. In power systems, different parts work on very different
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Almost all radar systems currently transmit from the same location. A drastic departure from this sensing architecture is distributed radar – enacted by a coherent network of spatially distributed
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About the Project The future power grid will be a highly complex cyber-physical system, integrating multiple distributed energy resources (DERs) such as solar, wind, marine, and bioenergy alongside
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PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
-enabled 6G is a nascent field, this project is at a pivotal time to advance our knowledge on how to build distributed and lightweight LLM architectures for 6G spectrum management. The success