98 assistant-professor-computer-science-data "https:" "https:" "https:" "https:" "Dr" research jobs at University of Sydney
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Full time fixed term for 2 years at Cobbitty, Camden Campus Opportunity to conduct research applying computational biology and AI modelling to plant–pathogen interactions Base Salary $113,400
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School offers undergraduate majors in computer science, information systems, data science and software development within its flagship Bachelor of Advanced Computing degree and combined degree programs
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at the University of Sydney. This role will support Dr Julie Ayre , NHMRC Emerging Leader Research Fellow, whose research focuses on using digital technology to support health literacy initiatives and improve health
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Full - time, fixed term opportunity for three years Exciting opportunity to be a Research Assistant with Professor Todd Hardy Base Salary starting at $89,755 pro rata + 17% superannuation About the
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Full - time, fixed term opportunity for 12 months Exciting opportunity to be a Research Assistant with Professor Stephanie Watson Base Salary starting at $89,831 + 17% superannuation About the
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coordinate and submit grant applications, ensuring accuracy and compliance with funding requirements assist with research data collection, analysis, and quality assurance activities manage research
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relationships with organisations, scheduling and conducting interviews, and supporting accessible data collection processes. Assist with the preparation and submission of ethics applications, ensuring all
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Assistant to support Dr Rebecca Raeside and the Youth Well Lab team researching the use digital technology to support the health and well-being of adolescents (10–24 years). We aim to prevent chronic
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Full time, 3-year fixed term position, located on the Camperdown Campus at the School of Life and Environmental Sciences (SOLES) A rare opportunity to combine multimodal data analysis with hands
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Full time, fixed term opportunity until November 2026 Exciting opportunity to work as a Research Assistant in Pathogen Genomic Epidemiology with the Computational Microbiology Group at the Sydney