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tissues or reveal micro- or nano-structural features, like the small air sacs in lungs. To overcome these limitations, alternative X-ray imaging methods have been developed: X-ray phase-contrast and dark
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(AI) technologies have advanced significantly, current software engineering methodologies remain insufficiently equipped to integrate responsible, reliable, and scalable AI-driven solutions into systems
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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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Remuneration: The successful applicant will receive a tax-free stipend, at the current value of $35,013 per annum 2024 full-time rate, as per the Monash Research Training Program (RTP) Stipend . Monash
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applicant will receive a tax-free stipend, at the current value of $36,063 per annum 2025 full-time rate, as per the Monash Research Training Program (RTP) Stipend www.monash.edu/study/fees-scholarships
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Type: Full-time Duration: 3-year fixed-term appointment Remuneration: The successful applicant will receive a tax-free stipend, at the current value of $36,063 per annum 2025 full-time rate, as per
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: The successful applicant will receive a tax-free stipend, at the current value of $36,063 per annum 2025 full-time rate, as per the Monash Research Training Program (RTP) Stipend www.monash.edu/study/fees
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: Full-time Duration: 3.5-year fixed-term appointment Remuneration: The successful applicant will receive a tax-free stipend, at the current value of $36,063 per annum 2025 full-time rate, as per
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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
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patients. The proposed project will address current gaps in the palliative and supportive care of heart failure patients by enabling a platform for patients to be engaged in the care pathways. This will be