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Deadline: 30 September 2025 A fully funded 3.5 year PhD position is available to work on the project titled “Scalable benchmarking for digital quantum computers based on blind testing
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Interdisciplinary Themes: Sustainability and Climate Change Health, Well-being, and Social Care Justice, Institutions, and Social Change Digital Social Sciences Resolving Uncertainty and Addressing Crises Advanced
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at the University of Cambridge. Key responsibilities The primary scope of the role is to develop an effective, user-friendly and replicable digital framework for the monitoring of diverse heritage threats to support
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An exciting opportunity has arisen for a talented computer scientist to join our team as a researcher within the Green Algorithms Initiative in the Department of Public Health and Primary Care, one
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? Mechanical seals are critical components in high-pressure storage solutions for hydrogen and carbon capture technologies. In this project, you will: Develop a 3D Digital Model: Create an advanced computational
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the development of specialized hardware architectures capable of efficient, real-time processing. Embedded AI hardware architectures, including neuromorphic processors and low-power AI accelerators
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MRI, echocardiography, and CT. Another promising approach is the use of cardiac digital twins—mathematical models that simulate a patient’s heart to allow the design and in silico testing of novel
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AI-electronic systems, ensuring secure communication and operation. Side-Channel Attack Mitigation: Implement techniques to protect systems against side-channel attacks, safeguarding sensitive
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MRI, echocardiography, and CT. Another promising approach is the use of cardiac digital twins—mathematical models that simulate a patient’s heart to allow the design and in silico testing of novel
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services, urgent treatment centres, and Emergency Departments. Potential areas of investigation include: Workforce planning and service redesign Use of digital technologies New and emerging roles in same day