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to provide child and aged care and companionship. Expected outcomes include an improved understanding of anthropomorphised robots in everyday life and innovation in home helper robot theory and
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This opportunity is open to students with any science-oriented undergraduate background. Students with a background in physics/astronomy, mathematics/statistics, computer science, or data science are particularly
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. At least one degree should be geodesy/surveying, mathematics, physics, engineering or related course. Additionally, the applicant should preferably have experience in: research and programming skills in
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English language requirements. Completion of a bachelor (honours) degree or master degree by research in: civil engineering geotechnical engineering petroleum engineering mechanical engineering applied mathematics
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collaborations with local and international research groups such as the European X-Ray Free-Electron Laser Facility in Germany. Student projects may focus on physics theory, algorithm development, experimental
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. Depending on your interests, research projects can range from developing new ways to ‘see’ atoms to understanding technologically-important materials. They can involve theory or experiment or a mix of both
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. Scholarship Details Maximum number awarded 1 Eligible courses The student will be required to undertake online courses related to the research topic and corrosion theory, in addition to completing a course on
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Group (HSRG) situated in the School of Electrical Engineering, Computing and Mathematical Sciences (EECMS) at Curtin University, which is equipped with an array of world-class research equipment and
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Australian and Indian aged care systems with a strong theoretical focus on the service dominant logic and organisational paradox theory. So, a candidate with either a marketing or management background may be
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to apply: Seismic wave propagation theory; seismic data acquisition and processing; signal processing, seismic imaging, geophysical inversion, scientific programming, reservoir modelling. Previous research