12 embedded-system-"https:"-"https:"-"https:" PhD positions at Loughborough University
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Science), a global leader in marine science, the project will develop scalable, low-cost embedded vision systems to analyze marine biodiversity and detect anthropogenic debris. The core challenge is
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consequences and manage coastal systems effectively. Since 2001, Marine Biodiversity and Climate Change Project (MarClim), led by the Marine Biological Association of the UK, has monitored rocky intertidal
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-geomorphological field methods. The project is embedded in an applied setting through collaboration with Previsico and international partners, ensuring pathways to real-world impact for policy, infrastructure risk
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Project details Digitalisation is widely promoted as a catalyst for growth and innovation, yet many SMEs and family firms in emerging economies struggle to adopt and benefit from digital
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informal, providing essential services where formal institutions often fall short; affordable food, transport, healthcare, and education. Yet we lack adequate understanding of how these ventures affect
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strong social economy. Building on reflexive ethnographic methodology, data will be analysed collaboratively with the research participants. During fieldwork the researcher will undertake ethnographic
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. The findings will provide valuable insights for policymakers, environmental organisations, and businesses aiming to promote sustainability across diverse communities. This project is perfect for candidates
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(CHF) phenomena – the prediction of which is key to safely designing and operating water based nuclear reactors. Current industrial modelling tools necessitate excessively conservative safety margins
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integration technologies to create the next generation of smart textile and wearable systems for high performance sports (e.g., running) and rehabilitation applications (e.g., recovery monitoring
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(CHF) phenomena – the prediction of which is key to safely designing and operating water based nuclear reactors. Current industrial modelling tools necessitate excessively conservative safety margins