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Help shape the future of cancer care through better data. This PhD scholarship offers the opportunity to work with a leading research team using clinical trials and real-world data to build machine
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Building tools to detect or prevent unsafe AI outputs Exploring regulatory gaps and proposing solutions This is an ideal opportunity for candidates with interests in machine learning, public health, ethics
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engineering tools and machines and will be highly proficient in the use of manual and numerically controlled machining methods suited to specific construction tasks. You bring a proven track record of
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to communicate with a diverse range of stakeholders through a variety of channels. Effective computer skills especially a sound knowledge of Microsoft Office package and a basic understanding of database
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achieving outcomes Effective computer literacy including demonstrated knowledge of Microsoft Office applications and the ability to learn and adapt quickly to new technologies and applications Ability to use
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, learning management system, and newsletter and communications systems. Due to the nature of the work, occasional weekend and/or evening work is a requirement of this position. Please view the attached
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tasks to meet required deadlines. Well-developed computing skills in using office computer applications, including the Microsoft office suite, web pages and databases. You will also have completed a
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able to demonstrate: Ability to work independently and as part of diverse teams and prioritise workload during busy periods. Well-developed computer literacy including demonstrated knowledge of Microsoft
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for measuring key milestones in the employee lifecycle will see you succeed in this role. With strong computer literacy, you are a gun at analysing and interpreting people and HR data, along with the preparation
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organisations (desirable). Capacity to develop computer code to model the environmental and cultural proxies provided by the team (highly desirable). College of Science and Engineering At the College of Science