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) use computer vision/machine learning to quantity athlete performance. Develop new computer vision/machine learning methods to enable measurement of sports performance. Research program would make use
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. The project will build upon an ongoing research strength of the school in sport performance and optimisation in athletes. The significance of the project outcomes is the potential to shape the best practice
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examines the carbon calculation mechanism for a greater inclusivity in the calculation. Objectives The project will make recommendation so that climate laws and policies promote social and environmental
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involves sending mean, vulgar, or threatening messages or images, posting sensitive, private information and/or lies about another person to make that person look bad, and intentionally excluding someone
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, applied maths, physics, chemistry, computer science, computational modelling, earth science or similar. Strong programming skills. Experience in making gas flux measurements Excellent project management
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interests and strengths. Possible project objectives can include, but are not limited to: -Understanding how ADHD impacts emotion regulation at different stages of the emotion regulation process (e.g
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The project also has a sub aim of protecting the heart from radiation during radiation therapy treatments for cancer patients. The project would suit someone with a strong maths, physics or
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experience would be advantageous. Application process Future and current student, please contact us via the EOI form . Enrolment Requirements Recipients must complete their milestone 1 within 6 month of
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-year research project on generative AI and academic research develop a research proposal that responds to and aligns with the scholarship topic and articulates the contribution your research will make
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@rmit.edu.au to express interest in the project/scholarship. Electrical network modelling Electricity market modelling Power system economics Tariff design Electrical network modelling Electricity market