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Join our multidisciplinary research team to develop and apply machine learning and bioinformatic algorithms in biomedical research. This PhD project will focus on developing machine learning
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social sciences, and must hold a relevant degree with strong skills in programming and machine learning. Please contact Zhuang Li for more information.
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Science School of Information and Communication Technology Employees can work remotely Job Title Type of Employment Department Location PhD Scholarship: Mitigating the dark side of AI-powered virtual
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Creative arts Design Engineering English language and pathway programs Health Information technology and games Justice Languages Law Mathematics and data science Science Teaching Explore Mid-year entry QUT
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Status: Open Applications open: 25/11/2024 Applications accepted at any time View printable version [.pdf] About this scholarship Description/Applicant information The CSIRO Industry PhD Program
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eligible to commence a PhD program at UniSQ Toowoomba in early 2025. Selection criteria To be eligible applicants must: • Have studied in robotics-related fields such as mechatronic engineering, electrical
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English language requirements. Completion of a bachelor (honours) degree or master degree by research in: civil engineering geotechnical engineering petroleum engineering mechanical engineering applied mathematics
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the area of structural health monitoring of civil engineering structures on an Australian Research Council Early Career Industry Fellowship project titled, 'Transforming Smart Bridge Monitoring by Computer
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Australia upon commencement of the PhD To be eligible for this scholarship, you must: Have a first-class Honours degree (or equivalent) in a relevant discipline (e.g., information science, sociology, digital
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to microscopic viewpoints, master his/her comprehensive and in-depth knowledge related to material science, physics, and chemistry. The PhD candidate will work with Professors Moses Tade, Zongping Shao, and Early