581 computer-science-quantum-"https:"-"https:"-"https:"-"https:"-"Univ" positions at Monash University
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Dowe, 1999a) ensures that - at least in principle, given enough search time - MML can infer any underlying computable model in a data-set. A consequence of this is that we can (e.g.) put latent factor
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experienced hardship to enrol in an undergraduate degree in Medicine, Nursing and Health Sciences at Monash University. Total scholarship value Up to $24,000 Number offered One See details Caitlin James
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Transition Program. **To be eligible you must provide a Confirmation of Aboriginal and/or Torres Strait Islander Heritage certificate or a certified Statutory Declaration form to the William Cooper Institute
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brain health. We are seeking a highly motivated Research Fellow to join a multidisciplinary and multi-institutional research program within the CDCO Academic Node. This role focuses on evaluating novel
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I supervise computational projects in electron microscopy imaging for investigating materials at atomic resolution. Some projects centre on analysing experimental data acquired by experimental
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leadership capabilities, enabling them to reach their full potential and make a real difference to people's lives and the future of pharmacy. You will participate in a leadership program throughout the course
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coordination services. Working closely with the Program Manager and key stakeholders, the role provides high-level coordination and administrative support across project activities, ensuring effective governance
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and basic optimization techniques are essential. Students with backgrounds in Data Science, Applied Statistics, Machine Learning, Statistical Computing, Industrial Engineering, or Reliability
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My research focuses on the dramatic final stages of massive stars, exploring how they end their lives as gamma-ray bursts, supernovae, and kilonovae. To unravel these mysteries, I employ a combination of multi-wavelength observational data with sophisticated simulations. I am a member of various...
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Many machine learning (ML) approaches have been applied to biomedical data but without substantial applications due to the poor interpretability of models. Although ML approaches have shown promising results in building prediction models, they are typically data-centric, lack context, and work...