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the optical-to-radio wavelength range, from major surveys and space telescopes (e.g: Gaia, SDSS, JWST, Hubble, Roman, Rubin-LSST). These are analysed using advanced machine learning and data-driven methods. My
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practices in professional physics and students' engagement in these practices The role of agency in students learning physics practice A mixed-method, longitudinal study on factors related to retention in
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research team led by experts from the Opportunity Tech Lab within the Monash Business School and the Faculty of IT at Monash University. The PhD candidate will be working with a team of distinguished
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" "Machine-learning-based imaging processing" webpage For further details or alternative opportunities, please contact: haoran.ren@monash.edu.
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market, Role of EVs in the grid, Power System Stability Analysis Using Machine Learning Techniques and more. Eligibility Requirements: Applicants must be Australian citizens or Permanent Residents
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they bond in materials, but also develop transferable skills in scientific computing, data analysis and visualisation. "Machine learning for atomic-scale structure determination in thick nanostructures" (with
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per the Monash Research Training Program (RTP) Stipend Be inspired, every day Drive your own learning at one of the world’s top 80 universities Take your career in exciting, rewarding directions About
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like to learn more. Possible research project comprise a wide range of topics in stellar evolution and nucleosynthesis, including stellar explosions, stellar and planetary dynamics, and neutron stars
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. Be inspired, every day Drive your own learning at one of the world’s top 80 universities Take your career in exciting, rewarding directions About the project Most research in women’s sexual and
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the research team to design and implement intergenerational play experiences. The PhD project will also involve creating Professional Learning modules and partnering with industry organisations to deliver and