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domestic students enrolling in the Biomedical Science Honours program BBiomedSc(Hons) at the Monash Biomedicine Discovery Institute. The scholarship is intended to encourage students to pursue Honours as a
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relevant fields of specialisation for this appointment are operations research, operations management, or a closely related discipline with strong computational and/or mathematical skills with expertise in
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strategic leadership, ensuring alignment with Monash University’s strategic plan, Impact 2030. Lead and inspire a diverse community of academics, students and professional staff. Drive growth in student
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scholarship and impact-driven discovery. Guided by our strategic plan, Impact 2030, we pursue bold ideas that improve health outcomes and transform lives, locally and globally. Within the Faculty of Medicine
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member of the Faculty executive and contribute to the development of the Faculty strategic plan. The appointee will inspire staff with a strong vision for education, engagement and research. The Head of
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an interdisciplinary, purpose-driven team. You have: A postgraduate qualification in Computer Science, Data Science or related field Extensive experience working with large-scale, high-frequency (waveform) data
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into infrastructure investment. The program helped me really open up, gain leadership and public speaking experience and gave me a better understanding of the industry and what I want to do next in my career. Am I
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programming (R or Stata preferred), and scientific computing Excellent problem-solving, planning and written communication skills Experience working with health-related data and modelling methods A
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I am interested in the most catastrophic and explosive collisions in the Universe, such as the mergers of neutron stars and black holes. I study these using both gravitational waves and electromagnetic signatures, primarily focussed on linking the data from these exciting experiments with our...
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Artificial Intelligence (AI) is revolutionizing the field of Magnetic Resonance Imaging (MRI) by enabling faster, more accurate, and cost-effective image reconstruction. This project explores cutting-edge AI methodologies, focusing on combining data-driven approaches with physics-informed models...