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to opportunity. Previous experience in a research environment and in training PhD and Honours students. Demonstrated ability to work in a team, collaborate across disciplines and build effective relationships
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This PhD scholarship is funded by an Australian Research Council Industry Fellowship grant. It is a 3.5-year research training program. The ARC Industry Fellowship program aims to develop a strong
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Status: Closed Applications open: 20/09/2024 Applications close: 30/09/2024 View printable version [.pdf] About this scholarship Description/Applicant information PhD candidates at ACSPRI Member
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have a PhD and, ideally, a postdoctoral experience in computational chemistry, biophysics or related discipline with the demonstrated ability to develop and pursue innovative computational research
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commercially orientated research projects in computer vision and machine learning. To be successful you will need: A PhD in Computer Science, Engineering or other Machine Learning-related field. Programming
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and community partners, secure research funding, and contribute to JCU’s broader academic mission. About You Essential: PhD (completed or near completion) in psychology or a related discipline (e.g
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record in top tier machine learning and/or computer vision conferences or journals, commensurate with experience and opportunity. • A strong work ethic, and the ability to work well independently, and as a
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dashboards. In this role you will conduct high-quality research, lead or contribute to publications and research grant applications, play an active role in the supervision of research students (PhD and Honours
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between Sydney, where the CIs are based, and Narrabri, when required. In collaboration with the CIs, PhD students, the Research Assistant, and other members of the research team, the appointee will
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for designing, implementing, and testing cross-communication layer cybersecurity methods for critical surveillance, as well as mentoring higher-degree research candidates. While a PhD degree is not required