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University at the forefront of medical research in frailty assessment and predictive analytics. This project not only has the potential to improve the quality of life for patients undergoing TAVR and other
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analytical instrumentation. This project is an industrial collaboration with Cadoux who aim to commercialise the process under development by the HSRG. The student will join a sizeable group of researchers (7
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Analytics, within the School of Population Health. The project also incorporates external partnerships with the North Metropolitan Health Service and staff directing the BCSP in WA. This collaborative network
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are seeking talented candidates with: First or upper second-class degree in Robotics/Mechanical/Cybernetics/Mechatronics /Computer Science or related scientific discipline. First-rate analytical and numerical
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analytical and numerical skills, with a well-rounded academic background. •Demonstrated ability to develop precision mechanical devices and mechatronics •Ability to develop kinematic and/or dynamic analysis
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candidates with: ◾First or upper-second class degree in Robotics/Computer Science/Cybernetics/Mechatronics/Mechanical or related scientific discipline ◾First rate analytical and numerical skills, with a well
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second class UK honours degree or equivalent in a related discipline, such as computer science, mathematics, or engineering. The candidate should be self-motivated and have excellent analytical, reporting
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manufacturing (year 1) - Advanced Composites manufacturing using energy absorbing fibres and nanomaterials (year 1) - Analytical/mathematical modelling and FEA modelling of hyper-velocity impact test of
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, Natural Sciences or related disciplines be very motivated and enthusiastic to learn and expand both computational and experimental skill set have an analytical mindset be able to summarize data extracted
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mental health and/or addiction (desirable) With lived experience of mental illness and/or substance use, as a consumer or carer (desirable) Demonstrate strong analytical and research skills Show commitment