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Status: Open Applications open: 30/10/2024 Applications accepted at any time View printable version [.pdf] About this scholarship Description/Applicant information Applications are open for the 2024 HDR Scholarship in flow assurance and corrosion mitigation at Curtin Corrosion Centre. Curtin...
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control strategies integrating fuel, engine, electric machine, and energy recovery systems for improved overall efficiency. Validate the developed methods through experimental and simulation studies
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(ED&I) and alternative routes into research. Desirable skills include experience in modelling and simulation (MATLAB/Simulink, Python), energy systems, and intelligent control methods. Applicants should
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of the composite human neuro-musculo-skeletal system (NMS) that incorporate neural control strategies (i.e., CPG-lie and reflex pathways), muscle-tendon units with variable stiffness and damping
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Research theme: Laser materials processing; Advanced manufacturing; Mechanical Engineering This 3.5-year PhD is funded by the University of Manchester and is open to UK students. The funding covers
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intersection of experimental testing, storage modelling, and energy system monitoring and control - contributing knowledge that can help data centers and other high-energy users reduce their environmental
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dynamics resulting from varying compositions. An adaptive Model Predictive Control strategy is envisaged for this challenge. During the four-year doctoral programme, you will contribute to the group's R&D
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the science of battery modelling, state estimation, fault diagnosis and control by developing the intelligent battery management systems that will make energy storage safer, more efficient, and longer-lasting
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control of soft robotic systems. The research will focus on developing simulation and digital twin frameworks for soft and continuum robots, integrating advanced sensing technologies for shape and force