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This PhD opportunity at Cranfield University invites ambitious candidates to explore the frontier of energy-efficient intelligent systems by embedding AI into low-power, long-life hardware platforms
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This PhD opportunity at Cranfield University invites candidates to pioneer research in embedding AI into electronic hardware to enhance security and trustworthiness in safety-critical systems
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control engineering and/or numerical optimisation Interest in embedded systems or real-time autonomous applications Programming experience in a compiled language (e.g. C, C++, Rust) Application Procedure
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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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membership and/or the outcomes of interest. This PhD studentship is funded as part of the Re-thinking Health Policy in Multimorbidity (REMIT) project. The REMIT project aims to develop new methods to assess
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electrophysiological data Experience in sleep scoring Experience in classifier development Experience with signal processing on embedded / resource-constrained systems Application Procedure Informal enquiries
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sensors and embedded systems development. • Experience with 3D modelling /CAD. • Publications, competition results, or an active GitHub/portfolio. Research Environment The University of Birmingham is one
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The global infrastructure landscape is dominated by ageing assets, many of which were not designed with today’s loading and environmental challenges in mind. Extending the service life of existing
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, optimized for coupling with molecular vibrational and electronic transitions. By embedding selected organic or hybrid molecules into these cavities, the research will probe the emergence of quantum light
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states of molecules or quantum materials embedded in the gaps, enabling all-optical or optoelectronic switching. Special emphasis will be placed on understanding the dynamics of non-linear optical effects