200 assistant-and-professor-and-computer-and-science-and-data-"U" positions at University of Sydney
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Professor Kalina Yacef. These projects explore how multimodal data from online platforms and sensor-based environments can be harnessed to enhance learning at scale. Research directions include designing
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Help Shape the Future of Data and AI at Sydney: Join Us as a Data Engineer! Location: Camperdown Campus Employment Type: Full time, 12 month fixed-term position Base Salary: $103,185 plus 17
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for intellectual, scientific and aesthetic research in architecture and the built environment since its inception. As such, the program attracts the highest quality applicants in Australia and from all over
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leadership in developing and maintaining a clinical, translational or basic science research program relevant to Rheumatology provide leadership in the development, implementation and promotion of clinical
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Engineering School of Computer Science School of Electrical and Computer Engineering All positions are full-time continuing (tenure-track), teaching and research roles based in Sydney, however flexible working
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project is driven from the University’s Research Portfolio and involves multiple delivery partners including Information and Communications Technology (ICT), Advanced Analytics & Planning (AAP), Finance
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applications of data science and modelling. The successful candidate will support the research of Professor Lucy Marshall, Faculty of Engineering and will collaborate with members of her cross-institutional
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a competitive remuneration package including 17% superannuation. About the opportunity The Chief Information Security Officer (CISO) is a senior executive role within the University’s ICT Leadership
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Camperdown campus. We are a strategic business unit that embraces innovation and continuous learning, including through a dedicated learning and development program focused on business, technology and career
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candidate will apply statistical principles to molecular biology, biological experiments, and human studies, working with both sparse data and large datasets. While the primary focus of this position is