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Automated Program Repair (APR) is the grand challenge in software engineering research. Many APR methods have shown promising results in fixing bugs with minimal, or even no human intervention
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quantitative, qualitative, or mixed research methods. About Monash University At Monash , work feels different. There’s a sense of belonging, from contributing to something groundbreaking – a place where great
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research methods. About Monash University At Monash , work feels different. There’s a sense of belonging, from contributing to something groundbreaking – a place where great things happen. We value
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an appropriate industry Certification such as CCIE, CCDE among others Strong skills in enterprise/data centre grade network hardware/software, protocols, network security, and Cloud with substantial experience in
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of the following would be useful: stakeholder engagement, (IT) system design, basic web programming, and technology evaluation. Experience in Indigenous and qualitative research methods is desirable, and Indigenous
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in diverse, real-world environments. Both classical machine learning methods and deep learning techniques can be employed to tackle this task. This project aims to achieve several objectives: 1
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formula is true or false (EXPTIME vs NP). Can we develop and implement efficient algorithms for this problem? This problem has been attacked using multiple different methods for the past 40 years, without
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research that addresses real-world challenges and you will demonstrate research leadership, including supervision of PhD students, and contribute actively to the Department’s educational, research, and
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technologies, including equipment and software, and a demonstrated ability to quickly adapt to and master new systems. Experience working in or managing a PC2 Lab, with a solid understanding of PC2 compliance
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problem-solving and analytical abilities, with a focus on delivering innovative solutions Proficiency in project management software and tools Why Join Us? Contribute to ground-breaking research that has