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inductance, ensuring uniform current sharing among parallel devices, and developing effective thermal management solutions tailored for low-temperature operation. Additionally, the project will explore robust
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Computing Strategies: Develop algorithms that dynamically adjust computing resources to minimize energy usage without compromising performance. Thermal Management Techniques: Design systems that effectively
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, collaboration, and effective teamwork between human workers and AI agents. The research will employ Participatory Design (PD) approach, emphasizing a democratic approach to technology design. This will require
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Join the cutting-edge RAM³ project: Unlocking the Potential of Recycled Aluminium through Machine Learning, High-Throughput Microanalysis, and Computational Mechanics. We are offering a PhD position
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will allow the student to be integrated into Dr Bateman’s active HDR group. The student will develop a research project with application to fisheries management, terrestrial ecology or biomedical
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three overlapping phases, the project asks how taxonomies of practice, or scores, can be developed through engagement with a material archive (video and photographic documentation, digitised director
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in device behaviour will be explored to minimize false positives Scalability and Real-world Deployment: This research project will address the scalability of the proposed detection system to handle a
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control algorithms for whole system efficiency optimisation. Design and simulate power management circuits using tools like SPICE or MATLAB/Simulink. Prototype and test circuits with real energy harvesters
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PDN interconnects, and enabling faster power management loops with better power integrity and savings. By minimizing power loss and simplifying the circuits design, IVRs contribute to better thermal
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physics of isotopes, and novel analytical methods and technologies. Essential Job Duties Collaborate with Principal Investigator(s) to determine direction of research projects in the fundamental and applied