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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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compliance with the National Higher Education Code to Prevent and Respond to Gender-based Violence. Your key responsibilities will be to: work closely with, and advise, the Head of Student Wellbeing, the Chief
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imaging. Assist with post-behavioural data collection including transcardiac perfusions, immunohistology, and microscopy. Align with and actively demonstrate the Code of Conduct and Values. Cooperate with
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using GitHub to for version management and collaborative development. A proven process for designing and executing systematic test plans for software. A strong track record with code interpretation
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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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shaping the end-to-end customer experience for our cloud and on-premise services. You will collaborate with cross-functional teams to design, prototype, and deliver user-centered services that meet the
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team and building team capability. Knowledge of the National Statement on Ethical Conduct in Human Research and other relevant legislation, codes, and guidelines. Experience interpreting, applying, and
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experience with coding in Matlab, Python, or R. Strong track record in computational science, image analysis, or mathematical modelling of complex systems. Evidence of publications in reputed refereed journals
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connectivity compared to younger women. The Scholar will use a custom python code on high-resolution confocal laser scanning microscopy-derived images of the network to map and quantify canalicular density and
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skills, including conducting, coding, and analyzing semi-structured interviews. Capacity to identify regulatory barriers and propose feasible pathways for floating photovoltaics deployment. Assist in