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Education setting. You demonstrate an ability to interpret and apply legislation, policies, procedures and processes, and acquire knowledge to inform others. Proficient in a range of computer software
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. About the opportunity Apply cutting‑edge data science, computer vision, deep learning, and generative AI to agricultural and phenomics research across UWA, DPIRD, and national APPN partners. Coordinate
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and discretion. High-level competence in the use of a wide range of computer applications in a network environment; experience with databases and management information systems including SI-net
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 15 days ago
part of future clinical research using big data, machine learning, and LLMs; make contributions to omics of data in clinical research; and work with technology innovations and applications in
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experts, using machine learning and modern analytical techniques to build high‑impact, Python‑based products that guide strategic decision‑making across the institution. Key responsibilities: Partner with
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technologies will affect them. It is our anticipation that the work will commence with, in parallel, the survey for collecting the data and a comparison of machine learning methods on artificial pseudo-randomly
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. Excellent written and verbal communication skills are essential, as is a collegiate approach to working with others. You will also have advanced computer skills, including experience with Microsoft Word
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learning experiences for our students – the global citizens of tomorrow. The Discipline of Design is rapidly growing and highly successful within the school. Our research explores and contributes to better
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teaching and learning. Desirable Proficiency in technical and digital capabilities relevant to contemporary design practice, including visual communication tools (Adobe Creative Cloud), Computer Aided Design
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related discipline): Computer Science, Artificial Intelligence, or Machine Learning Economics or Econometrics (particularly applied micro, behavioural, or decision-focused modelling) Applied Mathematics