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Full-time onshore enrolment Strong background in fluid-structure interaction or in systems and control Solid background in mathematics (theories in both ordinary and partial differential equations
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statistical analysis and/or coding (e.g., R, Python, C++) Exposure to neurophysiological measurement methods (e.g., eye-tracking, pupillometry) Interest or training in technology law, digital regulation, or AI
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on clinical trials Well-developed planning and organisational skills, with the ability to prioritise multiple tasks and set and meet deadlines Capacity to work in a collegiate manner in a team environment and
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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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), singular optics, using electrons, atoms and light and the exploration of complex systems using statistical field theory. "Catastrophes on order-parameter manifolds" (with Dr Alexis Bishop and Dr Timothy
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in an applied engineering environment. Desired skills Excellent mathematical and programming skills, including experience creating effective code in Python, R and Matlab. Knowledge of chemistry and
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of AIS's existing cloud-based 'pipelines' product, which allows sporting practitioners to develop computer vision (CV) applications in a no-code environment.
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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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. 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