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are deeply committed to environmental stewardship and eager to apply their specialized skills in AI, data analysis, software development, and electrical or energy engineering to make a significant and tangible
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are available in the Centre of Infrastructural Monitoring and Protection (CIMP), School of Civil and Mechanical Engineering at Curtin University, Australia. The successful candidates will work with Associate
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will collect and analyse clinical, demographic, diet, and lifestyle data to identify modifiable predictors and stratify patients by malnutrition risk, supporting the development of targeted, personalised
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, and evaluation of advanced software engineering techniques and methodologies aimed at detecting, mitigating, and preventing misinformation online. The successful candidate will develop novel AI-driven
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of microbial biofilms, extrapolymeric substances and metabolic activities under a range of substrate conditions. This project aims to significantly advance the current perceptions and knowledge by developing new
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will be developed. This scholarship application is open until filled. Student type Future Students Faculties and centres Faculty of Science & Engineering Engineering courses Course type Higher Degree by
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obtained). Have a background in one or more of the following areas: Dance Choreographic Practice Improvisation Performance and Technology Motion Capture Movement Analysis Systems How to apply Apply
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to biomedical applications. Students will have access to our X-ray imaging laboratory in the New Horizons Research Centre for developing new technology. We also regularly perform experiments at the Australian
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Swinburne University of Technology before commencing the scholarship. About You To be suitable for this role you will need to have experience in the below key accountabilities: Experience in modelling (CAD
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foundation, strong learning and research abilities, communication skills, excellent academic performance, outstanding work achievements, and strong potential for development Be under 35 years old (at 1st