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materials and we utilise these non-absorbed X-rays to massively increase image contrast and reduce radiation exposure using coherent synchrotron radiation. We have developed these “phase contrast” and “dark
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of generative AI. Essential Skills and Experience A background in a relevant field such as behavioural science, cognitive science, data science, psychology, human-computer interaction, law, or a related
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of cities. Develop the first national land use–transport interaction (LUTI) model for Australia. Evaluate policy scenarios involving HSR to realign population growth with sustainability goals. The selected
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engineering or information technology discipline. Monash University strongly advocates diversity, equality, fairness and openness . We fully support the gender equity principles of the Athena SWAN Charter
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) for Research Doctorate (PhD) studies Remuneration: The successful applicant will receive a Research Living Allowance, at a value of $36,063 AUD per annum (2025 rate, subject to annual indexation) for PhD, and 4
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-ray speckle-based imaging, a simple and flexible technique using just a piece of sandpaper as an optical element to access the phase-contrast and dark-field image modalities. Using this method, I
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minor thesis packaged into a Master of Commerce (MCom) degree. For a Health Economics specialisation, this stage begins in Year 2 of the MCom degree and takes one year to complete. Provided you meet the
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, this stage begins in Year 2 of the MCom degree and takes one year to complete. Provided you meet the agreed conditions, you will then progress to the PhD, which involves high quality research training
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My interests span a wide range of topics in theoretical physics, including: geometric phases, topological defects in matter and radiation fields, inverse problems (scalar and vector tomography
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information that is encoded in the x-ray wavefield as it passes through the sample. My research aims to tap into the wavefield phase to reveal weakly-attenuating objects like the lungs that are almost invisible