412 software-engineering-model-driven-engineering-phd-position-"Multiple" PhD positions in Australia
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PhD Scholarship Opportunities in Optoelectronic Semiconductors at the Faculty of Engineering and Faculty of Science (Multiple Positions) Job No.: 682543 Location: Clayton campus Employment Type
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addition to debits, credits can be obtained. The research performed under this internship by an Electrical/Power Engineering or Computer Science PhD student will relate to this reform, specifically investigation
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Australia's national science agency, we solve the greatest challenges through innovative science and technology. We put the safety and wellbeing of our people above all else and earn trust everywhere because we
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The Adelaide Graduate Research School (AGRS) and the Adelaide Park Lands Association are partnering to create an internship opportunity for a University of Adelaide PhD students, to contribute to a
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Australian Research Council (ARC) Funded PhD Opportunity at Faculty of Engineering: High-Speed Rail and Sustainable City Sizes in Australia Location: Clayton campus Department/Unit: Monash Institute
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Paul Dastoor Available to: Domestic students PhD Eligibility Criteria The student will have a Bachelor's degree in science (ideally physics) or engineering (ideally electrical), plus a strong aptitude
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graduates develop transferable professional skills and are well positioned to work at the cutting edge of industry focussed research.The CSIRO Industry PhD Program (iPhD) aims to produce the next generation
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Opportunity to help develop a novel nanophotonic therapy targeting drug-resistant hypertension Full-time, fixed term (3.5 years) position at our Hawthorn campus Annual stipend $40,000 About the Role
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Centre for Quantum Technology Theory (CQTT) Full-time, fixed term (3 year) position at our Hawthorn campus Annual stipend $34,700 About the Role We are seeking a highly motivated and talented PhD
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university research into commercial outcomes. Under this program, PhD students will gain unique skills to focus on impact-driven research. This Project aims to develop a predictive machine learning model