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Field
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minimal environmental impact. However, their practicability is often limited by suboptimal power management circuits (PMC), which need to be optimised or custom-designed on a case-by-case basis
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developments such as novel algorithms to support logistics operations, novel automation approaches or the design and development of new digital support tools for logistics providers. Significant flexibility
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Partnership at the University of Cambridge. This programme is a collaboration between industry and academia, now in the final 24 months of a 60-month effort. The programme integrates research and innovation
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aims and objectives are met. Working closely with the supervisory team, develop and plan research objectives. Present information on research progress and outcomes to, for example, project lead, funding
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PhD Studentship: Sleep and Circadian Rhythms in Elite Sport (Co-funded by Brighton & Hove Albion FC)
in machine learning methods for pattern recognition and prediction. An academic or practical background in sleep science and/or elite sport is highly desirable. The candidate will be embedded within
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weather events and improve household resilience. Key responsibilities include: Data cleaning, management, and econometric analysis Supporting fieldwork design and survey development Preparing research
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will work on the design, development, and testing of integrated systems that may include laser generation and stabilisation, RF control, PID systems, and embedded electronics. The work aims to improve
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electron microscopy (4D-STEM) techniques. The Research Associate will design and execute in-situ experiments under liquid nitrogen and liquid helium conditions, including developing the hardware and
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and will provide the pharmaceutical sciences field with low-cost, high-resolution, and flexible analytical capabilities. It will facilitate innovation in personalised medicine through enhanced quality
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Fully Funded PhD Research Studentship tax-free stipend of £20,870 Design, Informatics and Business Fully Funded PhD Research Studentship Project Title: Autonomous AI-powered red agents for enhanced