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that suppress resistance gene transfer. Combining biophysics, microbiology, and materials science, the project will generate insights into how physical environments can be harnessed to control AMR. Approach and
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ecosystem, including a mobile app to control the eLFA and a cloud-based AI analytics platform. This role will also get hands-on with validation, conducting wet lab experiments with real food samples to refine
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Position Summary: Applications are invited for a PhD studentship, to be undertaken at Imperial College London (Control and Power Research Group, Department of Electrical and Electronic Engineering
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and quality‑controlled, generating high‑quality serological, molecular and genomic data alongside metadata that will feed dashboards as well as catalytic and phylodynamic models. The post includes
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ultimately allow us to design robust, manufacturable, and effective passive flow control concepts using smart materials and geometries for the next wave of hypersonic flight. You will develop an end-to-end
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are safely received, triaged, processed, sequenced and quality‑controlled, generating high‑quality serological, molecular and genomic data alongside metadata that will feed dashboards as well as catalytic and
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About the role Applications are invited for a Research Associate position within the Control and Power Research Group, working on a new research initiative focused on load modelling in power systems
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Applications are invited for a Research Associate position within the Control and Power Research Group, working on a new research initiative focused on load modelling in power systems at grid supply
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controlling our behaviour as individuals, and coordinating our behaviour in groups – but we don’t know how interaction with others changes our metacognitive states of mind, and how these mental processes can
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large herbivores and off-road driving, using the RPI to control for climate-driven variability and incorporating data from allied ground monitoring. This should reveal landscape-scale recovery timeframes