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Field
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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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PhD Stipends within Distributed, Embedded and Intelligent Systems (DEIS) At the Technical Faculty of IT and Design, Department of Computer Science, one PhD stipend is available within
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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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to a higher overall system efficiency. This PhD research project targets the development of novel composite magnetic materials and package-embedded power magnetic core inductors based on these materials
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) with integrated passives can play a key role as a part of the PDN in enhancing power efficiency and performance in HPC systems. IVRs either in package or on-chip, provide voltage regulation closer
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management and thus to a higher overall system efficiency. This PhD research project targets the development of novel composite magnetic materials and package-embedded power magnetic core inductors based
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stimulation) and electrophysiology measures (electromyography, electroencephalography) will be highly beneficial. The PhD position is embedded within an excellent academic and research environment with a strong
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energy system models that incorporate a stronger Social Sciences and Humanities (SSH) perspective. By embedding societal dynamics, such models aim to capture a wider range of future uncertainties and
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interactions, and myelin plasticity in health and disease. The lab is embedded within the Hertie Institute for Clinical Brain Research (HIH), which, together with the Department of Neurology at the University
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, characterization and comparison of composite magnetic materials for high efficiency integrated voltage regulators with embedded magnetic core micro-inductors,” 2017 J.Phys. D: Appl. Phys. 50 455001, DOI:10.1088/1361