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. The faculty is responsible for teaching and research across wide range of disciplines including Engineering, Computer and Mathematical Sciences, Architecture, Biology, Physics, Chemistry and Earth Sciences
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science or (applied) machine learning, decision making, and other closely related area. Expertise and experience in computer programming, especially in Python and C++. The path to Adelaide University We
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packages and a track record of delivery on project-based work. To be successful at Level HEO8 you will need: Have excellent and extensive industry experience in computer science, data science or (applied
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methods. Strong experience with scientific computing and data analysis, ideally using python or an equivalent language. A strong record of producing peer reviewed research-based publications in areas
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methods, and ensuring reproducibility and scalability of analysis routines. This is a hands-on role suited to someone who enjoys working at the intersection of experimental science and computational
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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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actions working on causal AI for a changing world. The AIML at the University of Adelaide is the largest computer vision and machine learning research group in Australia with over 180 members including
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and procedures. Well-developed computing skills, using the Microsoft Office suite of programs and information systems for developing and maintaining electronic records, including sound administrative
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to detail, sound judgement, initiative and confidentiality. Advanced computer skills using the Microsoft Office Suite of products, particularly Excel. The path to Adelaide University We are on an exciting
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Intelligence and Machine Learning Research Project B in Trimester 1, 2026 Master of Data Science MATHS 7097A - Data Science Research Project Part A in Trimester 3, 2025 AND MATHS 7097B - Data Science Research