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and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for a Lecturer in Statistical / Mathematical Data Science who has: a PhD (or near completion
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ultimately result in knowledge or technology transfer leading to commercialization, improved policy or practice and/or enhancements to industry assist with future grant applications and supervision of PhD
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in surface engineering and materials science who has: a PhD in physics, chemistry, chemical engineering, mechanical engineering, materials science or related science or engineering subjects experience
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addition to the above) Completed PhD in a relevant field. Demonstrated experience working with health data, leading to successful publications. Wish to develop an academic career specifically in cancer research
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biology and mammalian cell culture techniques to join our multidisciplinary team. Experience with RNA technologies, genome editing, microscopy, flow cytometry, and computational tools, including AI, is
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for additional information about the school and faculty research, please visit: https://www.sydney.edu.au/engineering/our-research.html. EEO statement At the University of Sydney, our shared values
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Engineering is seeking Academics of all levels who can demonstrate: a PhD in a relevant field such as biomedical engineering, computer science, electrical/electronic engineering, mechanical engineering
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undergraduate and postgraduate levels and contribute to leadership of the School/Faculty. The School of Civil Engineering is seeking Academics of all levels who can demonstrate: a PhD in a relevant field
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Join a thriving Faculty of Engineering at a University ranked amongst the world’s best teaching and research institutions Located in the heart of Sydney’s bustling inner west quarter, close to
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levels and contribute to leadership of the School/Faculty. The School of Electrical and Computer Engineering is seeking academics of all levels who can demonstrate: a PhD in a relevant field. Applicants