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collaborative, independent, and organised approach to research Desirable (not essential) skills include experience with version control (e.g. GitHub), automated reporting (e.g. R Markdown), or interactive
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, expanding knowledge and practice in the discipline provide mentoring and supervision to research staff uphold professional conduct and standards in all interactions with colleagues and stakeholders undertake
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research in the region and deliver a range of interactions with the Gomeroi community and other Indigenous stakeholders during the project. The position is supported by an ARC Discovery-Projects grant
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 27 days ago
closely with the Facility’s Head, Business and Operations Manager and lead Facility team members. They will also interact with industry and external users of the ANU Facility, providing high level advice
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tier conferences and journals in data mining/machine learning, Artificial Intelligence in Education and Educational Data Mining, Human-Computer Interaction strong technical expertise in data mining, data
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environment and the ability to interact with students and staff with cross cultural sensitivity. Ability to work cooperatively and productively in multidisciplinary teams. Excellent record in research
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environment and the ability to interact with students and staff with cross cultural sensitivity. Ability to work cooperatively and productively in multidisciplinary teams. Excellent record in research
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track record of significant involvement with the profession and/or industry. High level communication skills and ability to network effectively and interact with a diverse range of students and staff
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
closely with the Facility’s Head, Business and Operations Manager and lead Facility team members. They will also interact with industry and external users of the ANU Facility, providing high level advice
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interactions. Theme 3: Diverse AI, working on AI systems for safety and diversity. Theme 4: AI that can explain its actions working on causal AI for a changing world. The AIML at the University of Adelaide is