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a tool that predicts body part location data and B-SOiD [6] is a tool that predicts behaviours based on this data over time. However, DeepLabCut needs to be trained by annotating rodent body part
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- and many-body physics in scenarios ranging from superfluids to quantum impurity problems to light-matter coupled systems. A large part of my work is carried out within the Australian Centre
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-ray speckle-based imaging, a simple and flexible technique using just a piece of sandpaper as an optical element to access the phase-contrast and dark-field image modalities. Using this method, I
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off work. I have also been able to take part in campus social life, joining an orchestra and also being able to pursue my love of music alongside my degree as well as giving back to the community
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community, inspiring seniors, and accomplished alumni whom I admire. Being part of such a dynamic and supportive network motivates me to strive for excellence. I feel empowered to take on leadership roles and
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educational disadvantage and wish to contribute to the community. You will become a mentor to students from under-represented schools as part of the Access Monash Mentoring Program, giving you the opportunity
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go to university, because the costs of moving and paying for everything myself were a lot. My Monash scholarships allow me to work only part time, giving me the ability to focus on my studies and still
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and quantum impurities. I was previously part of the Australian Centre of Excellence for Future Low-Energy Electronics Technologies (FLEET), where I led the theoretical effort on light-matter coupled
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benchmarked against standard manual approaches. In addition to a topped-up PhD scholarship under the AI for Mental Health Next Gen program, Crank intends to hire the full-time PhD student in a part-time role
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question and answer component to an existing MAPF visualiser as part of creating XMAPF. Required knowledge - Comfortable with discrete mathematics and proofs - Basic knowledge of AI (e.g., FIT3080