206 cloud-computing-"https:" "https:" "https:" "https:" "https:" positions at University of Sydney in Australia
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3-year full time, fixed-term opportunity Exciting opportunity to apply your project management expertise to drive the University’s Collective Excellence – Research program Base Salary $146,197
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continuing to build research contribution, expertise, connections, and impact. Your key responsibilities will be to: work closely with other School members in dynamical systems, computational mathematics
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advanced scientific computational techniques and research related software packages an understanding of modern scientific computing tools, including high-performance and high-throughput computing
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contribution to teaching and learning practice, design and evaluation within the program and will be on a trajectory towards leadership in educational design and delivery. The majority of your contribution will
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communication skills in English strong familiarity with standard computer methods (Word. Excel, PowerPoint), statistical and graphics packages Desirable: experience with rodent handling and surgery experience in
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is the oldest medical school in Australia. it accommodates around 1200 medical students undertaking a four-year graduate-entry Doctor of Medicine program, in addition to postgraduate coursework
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an established program and across a variety of settings significant experience in education design and practice significant experience conducting original research and engaging in scholarly activity significant
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, coordinate and deliver strategic employability programs (onshore and offshore), ensuring strong stakeholder engagement and program quality build, maintain and promote strong relationships with industry
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· Part time fixed term until 2 March 2027 · Research Fellow role supporting research program in skin cancer prevention and treatment for high‑risk populations-including high risk kidney
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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