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Australia and internationally. These dynamic research activities open doors for graduates and qualified medical radiation practitioners to pursue higher degrees such as a Master of Philosophy or PhD
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to pursue higher degrees such as a Master of Philosophy or PhD. Committed to lifelong learning, the Department supports the professional growth of radiographers, radiation therapists, and nuclear medicine
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, you’ll bring: A PhD in a relevant field. Proven record of scientific excellence, originality and research independence. Commitment to team science, open, responsible research (FAIR data), and a
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in diverse, real-world environments. Both classical machine learning methods and deep learning techniques can be employed to tackle this task. This project aims to achieve several objectives: 1
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consensus at all levels and including those with varying levels of financial literacy. Experience working with large integrated commercial finance systems and reporting software along with excellent computer
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research priorities. About You Essential Qualifications and Experience A medical specialist qualification in an area of expertise relevant to the Sub-Faculty and Alfred Health. PhD or equivalent research
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Experience Medical specialist qualification relevant to the Sub-Faculty and Monash Health. A PhD or equivalent research doctorate in a relevant medical or health-related discipline. Senior academic standing
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Discovery Project, this research aims to develop highly novel physics-informed deep learning methods for Magnetic Resonance Imaging (MRI) and Positron Emission Tomography (PET) and applications in image
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behavioural foundations of health and well-being, and play an important role in building students’ research capabilities in both qualitative and quantitative methods. You will also supervise honours and
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This PhD project is part of a larger project that aims to explain the uncertainty of Machine Learning (ML) predictions. To this effect, we must quantify uncertainty, devise algorithms that explain