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Candidates should hold a previous degree (Bachelor’s and/or Master’s) in Computer Science, Data Science, Robotics, Mechatronics, or Software Engineering, with demonstrated knowledge in machine
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Technology Equipment Study Support Grant Achieving Potential Support Scholarship The Faculty of Information Technology is seeking to improve access and participation to tertiary education for a
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Women in Engineering Scholarship Sir John Monash Scholarship for Achievement At Monash, we support bright young women who wish to study engineering. If you are a high-achieving student intending
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theoretical colleagues. All research takes place within our dynamic particle physics research group with academics and postdocs, as well as graduate and undergraduate students. Some work will be purely
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Skip to main content Main Menu - Primary Home Projects Supervisors Expression of Interest Contact Testing AI/LLM systems Primary supervisor Yongqiang Tian Research area Software Engineering In
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& Research Access Support: support with accessing research materials or sites, such as scanning, photocopying, retrieving physical texts, or navigating library systems. Accessible Technology, Materials
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, software, human-computer interaction, ...). We also work very much interdisciplinarily with colleagues from other faculties, e.g. on bio-diversity matters, on physical aspects, on modelling aspects, and on
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Computer Science Bachelor of Computer Science (Honours) Bachelor of Computer Science Advanced (Honours) Bachelor of Information Technology Bachelor of Engineering (Software Engineering) or Double degrees involving
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relevant professional experience Understanding of relevant professional standards for teaching Demonstrated high-level interpersonal and communication skills Excellent use of technology including software
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testing approaches that can be used to verify that machine learning models are not biased. Required knowledge Software engineering, software testing, statistics, machine learning