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technologies will affect them. It is our anticipation that the work will commence with, in parallel, the survey for collecting the data and a comparison of machine learning methods on artificial pseudo-randomly
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of working for Campus Life Join a supportive, inclusive and vibrant team Instruct participants from the broader community as well as university members and students Be involved in member engagement events
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systems (such as RedCAP), Endnote files, and databases Demonstrated experience with data analysis, visualization, and building machine learning models in programming language such as Python or/and R
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between two locations: Sydney, NSW supporting The Children’s Hospital at Westmead and/or Sydney Children’s Hospital Randwick study sites. The Research Assistant will be willing to learn how to assist with
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developing research projects and reporting against milestones. Experience working with a range of computer systems and applications, including referencing software (e.g. EndNote), survey platforms and high
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to purchase additional leave; flexible working arrangements to help manage your work-life balance; ongoing learning and development opportunities to grow your career; an inclusive and supportive culture and
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electrical works, including a demonstrated ability to consult and liaise with staff from all levels of university and external parties. Effective computer and mobile literacy with experience utilising digital
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the Faculty and the broader University, your contribution will support an inclusive, vibrant learning environment where students are empowered to thrive, develop a sense of belonging, and make the most
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collaboratively on initiatives with a range of people at different levels within an organization. Experience working with a range of computer systems and applications, including Microsoft Office suite with a proven
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Time series are an ever growing form of data, generated by numerous types of sensors and automated processes. However, machine learning and deep learning methods for analysing time series are much