614 computer-science-intern-"https:"-"https:"-"https:"-"UCL" positions at Monash University
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supervisors. You will also collaborate in team projects within the research programme and have opportunities to participate in the XYX Lab’s international research community. This position has a two-stage
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: The successful applicant will receive a tax-free stipend, at the current value of $37,145 per annum 2026 full-time rate, as per the Monash Research Training Program (RTP) Stipend www.monash.edu/study/fees
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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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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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Australian humanitarian visa holder An International student You must meet the following criteria: Current undergraduate student enrolled full-time in the Faculty of Medicine, Nursing and Health Sciences* at a
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made it possible to support myself away from home while studying. I've been able to participate more in class, take up an international placement and volunteer with not-for-profit causes to strengthen my
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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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I am an ARC Future (former DECRA) Fellow and lead the Structured Nanophotonics Group at Monash University. My research in nanophotonics explores the full potential and multi-dimensional nature of light, focusing on controlled light-matter interactions at the nanoscale. Driven by the fascinating...
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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...