10 algorithm-phd "https:" "Computer Vision Center" PhD research jobs at Monash University
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machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch or TensorFlow) Project funding Other Funding
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Primary supervisor Lan Du Co-supervisors Joanne Enticott Research area Data Science and Artificial Intelligence As a pregnancy approaches term (the point at which the foetus is considered fully developed), decisions are made about the timing of birth and the way babies are born. These decisions...
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Primary supervisor Lan Du Co-supervisors Joanne Enticott Research area Data Science and Artificial Intelligence As a pregnancy approaches term (the point at which the foetus is considered fully developed), decisions are made about the timing of birth and the way babies are born. These decisions...
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Spectral Encoding. Develop advanced neural architectures (e.g., adapted Vision Transformers or 1D sequence models) capable of fusing multiple distinct analytical "views" (e.g., combining MS2 and NMR data
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Spectral Encoding. Develop advanced neural architectures (e.g., adapted Vision Transformers or 1D sequence models) capable of fusing multiple distinct analytical "views" (e.g., combining MS2 and NMR data
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advanced immersive visualisation and visual analytics using Augmented and Virtual Reality environments in visualising and interacting with protein structures. Required knowledge Strong computer-science and
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optics-related research. I have available PhD and Honours projects. If you are interested in our nanophotonics research—a dynamic field in applied physics where you can bring your innovative designs to
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. Research Aim This PhD research aims to develop and evaluate AI and Machine Learning approaches for early prediction, risk stratification and prognostic modelling of heart disease , with a focus on
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. Research Aim This PhD research aims to develop and evaluate AI and Machine Learning approaches for early prediction, risk stratification and prognostic modelling of heart disease , with a focus on
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The candidate should have a strong background in optimisation and/or computer science. Learn more about minimum entry requirements .