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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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the area of end-to-end modular autonomous driving using computer vison and deep learning methods. This includes developing an efficient and interpretable image processing, vision-based perception and
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Australian Imaging Service platforms. Work will include enabling Kubernetes deployments, developing GitOps solutions, the integration of different storage endpoints using the Container Storage Interfaces
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contribute to the design and implementation of an out-of-lab quantum, magnetometer based on OLEDs. Field test and benchmark a prototype OLED quantum magnetometer. Align with and actively demonstrate the Code
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tools in combustion. Our computational codes are also used by various international research institutions. Both experimental and numerical projects are conducted in parallel providing a platform for
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achieve recognition and impact in the research area, design PCBs and develops FPGA code, develop image signal processing systems and sensor motion control, collaborate on the assembly, alignment, and
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proactive project support and administrative services to the School, including maintenance of digital filing systems, spreadsheets, image databases, websites and other administrative systems. Manage the
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advanced imaging (AFM, TEM), fluorescence spectroscopy, and biostructural tools; and collaborate with a diverse team of students and researchers across chemistry, biology, and materials science
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journals. Prototype electrochemical devices based on research results. Undertake additional research responsibilities within the field of expertise. Actively apply for external grants and fellowships with
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about students through the designated channels and uphold to the code of conduct. RMIT Vietnam expects all staff members to comply with its Code of Conduct, policies and procedures, which relate to legal