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of Conduct and Values, setting standards of excellence in leadership. Who we are looking for – Selection Criteria: Essential: Education & Qualifications PhD in Computer Science or a related field. Recognised
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& Qualifications PhD in Computer Science or a related field. Recognised standing as a leading authority in AI or Data Science. Teaching & Mentorship Demonstrated excellence in tertiary teaching, curriculum
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Full-time enrolment in a PhD program at Curtin University Background in artificial intelligence, computer vision, or structural/civil engineering Demonstrated research experience, with evidence of
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are looking for - Selection Criteria: Essential: A PhD in a relevant discipline such as Applied Statistics, Mathematics, Bioinformatics, and/or Computational Genetics, Data Science. A demonstrated track record
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understanding of applications of microbiology, climate change and mining rehabilitation, including the techniques relevant to the research. The appointee will have their own research program and collaborate with
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Vision and Edge Computing'. PhD candidates involved in this project will be trained in the emerging field of smart infrastructure, which is critical for Australian society in the coming decade
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research program. Join us and develop your academic career in a dynamic and collegial team of lecturers and researchers who train industry-ready undergraduate and postgraduate students. Your responsibilities
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the development of cutting-edge research infrastructure for the Climate Action in Transport and Land Use Planning (CATLUP-I) program, delivered through the AURIN WA Node at the Planning and Transport Research
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understanding of applications of microbiology, climate change and mining rehabilitation, including the techniques relevant to the research. The appointee will have their own research program and collaborate with
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Scholarship is awarded annually to outstanding Australian graduates to support them with postgraduate study (master's or PhD) at the world’s best universities. The Scholarship is not limited by age, gender