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project will develop novel methods for modelling and controlling large space structures (LSSs), so that they can be reliably utilised in space-based solar power (SBSP) applications. Working with leading
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-Royce, Thales, and UKRI—offering global relevance in low-power AI hardware, embedded intelligence, and adaptive electronics. The rapid advancement of Artificial Intelligence (AI) has necessitated
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This PhD studentship, based at the University of Exeter's Penryn Campus (Cornwall), offers an opportunity to conduct research at the intersection of wind energy, power systems, and advanced control
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transition to a net-zero economy, electrical power systems are rapidly decarbonising supply whilst electrifying carbon-intensive demand. This is accelerating the integration of low-carbon technologies (LCTs
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transfer (MNT) reaction. The objective is to study the mechanism of the MNT reaction and its ability to produce heavy nuclei that are different and richer in neutrons compared to the fusion-evaporation
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the project’s research area Training in higher education teaching and learning Experience teaching Swedish and European economic history Documented administrative ability Assessment criteria The School
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of the Manufacturing Technology Centre (MTC) and academics within the Power Electronics, Machines and Control (PEMC) Research Institute , University of Nottingham. The project will be supported by the state-of-the-art
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developed to study the effect of more damaging surface phenomena. Motivation The maximum temperature that metallic materials may be used in power generation is generally determined by their creep strength and
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researchers in the lab. Regular, reliable, and non-disruptive attendance is an essential job duty, as is the ability to create and maintain collegial, harmonious working relationships with others
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current health and safety regulations in laboratories, particularly in NMR 3) Interpersonal and soft skills - Strong ability to work independently - Proactive approach to research and scientific curiosity