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need: A PhD in epidemiology, public health, medical sciences or other areas relevant to primary health care Demonstrated experience contributing to the coordination of quantitative health research
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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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Educational Technology in the School of Computer and Mathematical Sciences. The successful candidate will be a researcher in the use of technology to support cognitive and meta-cognitive skills of students
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have a PhD in Computer Science (or be able to demonstrate equivalent research experience in modelling and simulation, software engineering research) and possess a deep and demonstrable knowledge
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to engage and collaborate with the broader University, school and discipline group to establish collaborative multi-disciplinary research outcomes. Qualification/s: A PhD in Civil Engineering specialising in
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the financial sector. Regular progress reports and presentations to both AIML and CommBank stakeholders. To be successful you will need: A PhD in Mathematics, Computer Science, Engineering or other Machine
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platform for conducting impactful economic research. To be successful you will need: PhD in applied economics, forensic accounting, ecological economics, criminology or a related discipline. Demonstrated
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intelligence as a Professorial Research Fellow in AIML. To be successful you will need: A doctorate (or equivalent) and research experience in computer science, machine learning, AI/software engineering or a
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Job no:517322 Work type:Fixed term - Full-time Campus:Adelaide Categories:Level A, Level B, Faculty of Sciences, Engineering and Technology (Level A) $81,293 - $109,307, (Level B) $114,917
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PhD in Computer Science, Engineering or other Machine Learning-related field. • Programming experience in python, C++ or other relevant language and experience in deep neural networks • Strong