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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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imaging programs. The position will be based primarily at the Women’s and Children’s Hospital in North Adelaide and the Australian Institute of Machine Learning. Some interstate and international travel may
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Office skills. Skills in data manipulation tools and/or programming languages such as Cognos, Power BI/Power Query, PySpark, SQL and R Desirable: Experience with data integration and ETL tools such as
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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
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qualification in the biological sciences) or progressing towards a higher qualification. Experience in High Performance Computing environments and fluency in programming languages such as R, Python, Perl, etc
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experience with projects that overlap across multiple fields. The ability to plan and manage own research activity and conduct relevant individual and collaborative research projects. Good oral communication
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closely related field. Fluent in English (oral and written). If from a non-english speaking country, you must have an overall IELTS score of 7.0, with a minimum of 7.0 for writing and speaking and 6.5
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language projects in regional locations in South Australia. The Linguist produces linguistic analyses of complex language databases and archival materials held at the MLT to increase understanding of SA
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knowledge of health economics, but this is not a requirement as training will be available throughout the PhD program. Stipend: The scholarship will be for 3.5 years and has a stipend of $35,300 (indexed
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status (if applicable) Degree certificates (testamurs) Academic transcripts Translations of non-English documentation Evidence of English language proficiency Curriculum vitae