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PhD Scholarship Develop AI and machine learning models to guide real-time, personalised treatment of paediatric brain cancer using multiomics and clinical data, within the internationally
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interpreted using deep learning to estimate tool-to-retina distance and generate accurate three-dimensional navigation commands without relying on conventional 3D reconstruction. Research Objectives
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PhD Scholarship in Multimodal Federated Learning and Medical Image Analysis Job No.: 695949 Location: Clayton campus Employment Type: Full-time Duration: 3-year and 3-month fixed-term appointment
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. This is particularly important in cave mining methods, such as block caving, panel caving, and sublevel caving, which are increasingly being adopted worldwide for deep, large, and lower-grade ore bodies
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for stretchable mechanical structures largely rely on intuition-driven or bioinspired approaches. They are often time-consuming and substantially limited in design flexibility, making it challenging to meet growing
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AI PhD Scholarship - Opportunity: Foundation Models for Brain Data Job No.: 696618 Location: Clayton campus Employment Type: Full-time Duration: The scholarship may be held for up to 3.5 years
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PhD Scholarship (Industry) - Privacy-Preserving AI for Human-Centric Video Analytics Job No.: 696616 Location: Clayton campus Employment Type: Full-time Duration: The scholarship may be held for up
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for the thesis can be collected only in a field location over an extended period of time that are essential to the completion of your research. Graduate researchers will be eligible to receive funding from either