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this will be a low-risk project, Ethics approval (which is currently in development) will likely be granted sooner before project start date, facilitating a smooth initiation. The supervisory team, with
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code, but adapting natural gas pipelines for hydrogen transport may require significant derating to compensate for increased risk factors. Aims This project aims to develop internal pipe coatings
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will also receive a tuition fee sponsorship for your research degree and support for health cover. As the scholarship recipient, you will have the opportunity to work with a team of world leading
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talented doctoral students to work closely with world-class research groups and benefit from the combined expertise and facilities offered at the two institutions, with a lead supervisor within each
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language requirements, and demonstrate strong oral and written communication skills and the ability to work in a multi-disciplinary research team. Applicants must also meet RMIT’s entry requirements for the Doctor
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than has previously been possible. Objectives The PhD candidate will work with the supervision team to determine the scope of the project, thus there is freedom to craft it to fit the candidates
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) of complex data Evidence of peer-reviewed publications within the behavioural sciences Work experience within Defence settings (e.g., researcher, practitioner) Demonstrated capacity to work independently and
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PhD Scholarship in Integrated Photonics for Telecommunication, Biosensing and Precision Measurements
for highly motivated and passionate PhD students to become part of our team. You will work with centre members from diverse research backgrounds in the disciplines of engineering, physics, chemistry and
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You will explore high through put experimentation through robots, nature of metal corrosion inhibitor interactions at a fundamental level and will work with 3 world class teams to integrate systems
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to discover new inhibitors. You will work with 3 world leading teams. You will explore the nature of metal corrosion inhibitor interactions through advanced molecular modelling and integrate this understanding