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" "Machine-learning-based imaging processing" webpage For further details or alternative opportunities, please contact: haoran.ren@monash.edu.
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to changing priorities as required. Demonstrated high level of communication skills. Qualifications Mandatory: A PhD in physics, mathematics or a related discipline. Please Note: Appointment to this position is
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as required. Demonstrated high level of communication skills. Qualifications Mandatory: A PhD in physics, mathematics or a related discipline. Please Note: Appointment to this position is subject to
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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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-field imaging of dynamic processes" "Multi-scale X-ray speckle-based imaging" "Spectral X-ray speckle-based imaging" "Single-shot multi-projection X-ray phase-contrast imaging" "X-ray virtual histology
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, the aim of this project is to develop and validate an experimental paradigm that can describe the dynamic processes underlying C2 agility and to characterise the situational factors by which C2 agility can
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to apply: Seismic wave propagation theory; seismic data acquisition and processing; signal processing, seismic imaging, geophysical inversion, scientific programming, reservoir modelling. Previous research
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The Adelaide Graduate Research School (AGRS) and the Royal Geographical Society of South Australia are partnering to create three internship opportunities for University of Adelaide PhD students