148 data-"https:"-"https:"-"https:"-"https:"-"INSA-LYON" Fellowship positions in Australia
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. plus 17% super Lead cutting-edge youth mental health data science / contribute to NIH-funded global psychosis research / build a strong academic profile Apply now to shape predictive models that improve
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Opportunity Join a visionary and collaborative research team driving world-leading advances in melanoma and skin cancer research. Working at the intersection of data science, artificial
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Research Fellow in Multi-Omics Data Science Employer UNIVERSITY OF SYDNEY Location Camperdown, Australia Salary $117,936 - $157,381 p.a + 17% superannuation Closing date 6 Oct 2026 View more
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Mathematics and Statistics, Camperdown Campus Develop statistical and computational capability for multi‑omics data analysis and drug discovery Base Salary Level A/B $ $117,936 - $157,381 p.a + 17
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the State or enrolled at one of their universities. For information consult the following: https://www.gwnsw.org.au http://www.afuwsa-trust.com.au/postgraduate-scholarships/ http://gwq.org.au/awards
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and industry partners, the role will examine areas such as socially responsible design, user experience, data security, trustworthy data representation and AI-enabled work practices. The Research
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create transformative experiences for students to prepare them for life and work. https://www.rmit.edu.au/about https://www.universitiesaustralia.edu.au/university/rmit-university Why work at RMIT
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AEST Outcomes announced: Early 2027 Funding commences: March 2027 or by arrangement Information for applicants Your guide to applying for Dementia Australia Research Foundation grants. https
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experiences for students to prepare them for life and work. https://www.rmit.edu.au/about https://www.universitiesaustralia.edu.au/university/rmit-university Why work at RMIT University Our people make
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failures. Be a student studying one of Engineering, Environmental Science and/or Management, Social Science, Science, Data Science, Information Technology (Data, Architecture, Cybersecurity), Business