307 computer-science-intern "https:" "https:" "https:" "https:" "Babes Bolyai University" Fellowship positions in Australia
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, Computer Science, Mathematics or a related field. Demonstrated experience developing software to support research outcomes. Strong written and verbal communication skills. A track record of scientific
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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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people who discover them The Opportunity The Faculty of Engineering, Department of Mechanical and Aerospace Engineering, is seeking an exceptional Research Fellow – Acoustic Sensing to join an innovative
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Health, Faculty of Health, Medicine and Behavioural Sciences. The FNCWR Program leads diverse and innovative research focused on achieving equity in cancer outcomes for Aboriginal and Torres Strait
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Dow Centre (School of Chemical Engineering) – Faculty of EAIT Full-time (100%), fixed-term position through to 1 March 2028 Academic Level A base salary will be in the range $82,057.75 - $109,246.18
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national and international projects. About the opportunity Lead project field data science related to quantifying water security and biodiversity. Deliver outreach and adoption that translate research onto
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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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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