315 computer-science-intern "https:" "https:" "https:" "UCL" "UCL" "UCL" Fellowship positions in Australia
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close 31 Mar 2026 Benefit amount Up to $2,500 Eligible study level Graduate research Eligible student type Domestic and international students Eligible study stage Current study Benefit duration One-off
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· engage with internal and external key stakeholders such as healthcare services, government bodies, technology vendors, and research partners · apply and maintain working knowledge of health
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research Eligible student type Domestic and international students Eligible study stage Current study, Alumni Benefit duration One or more years Summary The Branco Weiss Fellowship is a postdoctoral program
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level Graduate research Eligible student type Domestic and international students Eligible study stage Current study, Alumni Benefit duration One or more years Summary The Volkswagen Foundation is
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Australia Awards are prestigious international scholarships and fellowships funded by the Australian Government offering the next generation of global leaders an opportunity to undertake study
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postgraduate qualification in Data Science / Computer Science (PhD preferred) Strong expertise in Python and/or R, SQL, data engineering and machine learning Experience with EMR systems (Cerner highly desirable
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research Student type: Domestic and international students Study stage type: Future study, Current study Study area: Science Need help understanding the process? Visit our scholarship guide Application How
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believe everyone has the right to good health. As the oldest and largest health management program in Australia, our School is a pioneer in public health, global health, infectious diseases intelligence
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them The Opportunity The School of Biological Sciences is looking for a Research Fellow to join a dynamic ARC‑funded Discovery Project exploring how plants adapt to extreme environments. This is an
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bioinformatics and computational biology, including the handling of large-scale genomic datasets. Expertise in the evaluation of novel predictive genomics methods, and experience with whole genome assembly