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flexible information assistance and literacy programs, understanding research output metrics, and using various computer applications for learning material development. You must have unrestricted work rights
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application of AI approaches (Machine Learning, Deep Learning, and Computer Vision etc.) to enhance the machining process and the quality of the product. Develop and evolve novel AI methods, including enabling
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management of the School's academic and student administration team and processes to enhance the School's ability to meet its key objectives in the areas of teaching and learning. Key responsibilities will
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education/training. High level of computer proficiency and practical understanding of administrative computer applications, especially with data on mainframe corporate systems. Proficiency at an advanced
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), and the ability to learn new procedures. High levels of computer proficiency with experience using MS Word, MS Excel, PowerPoint and EndNote. Dedication to subject confidentiality and research ethics
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machine learning methods to predict protein structures, predict peptide and protein interactions, and design new peptide drugs and crop protection agents. The work is funded by the Australian Research
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models. In-depth understanding of linear algebra and fundamentals of deep learning. Knowledge of Transferability in Machine Learning is desirable. Strong background in multimedia and computer vision tasks
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resolution and maintenance of administrative systems in support of the teaching and learning activities of the school. Key responsibilities will include but are not limited to: Student and Academic
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to the Client Facility Manager on a wide range of building issues and condition assessments. Able to work Autonomously and as part of a team. Participate in an on-call roster. Basic computer skills across
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to learn quickly, the technology tools available to Advancement including Microsoft Windows computer environment, Microsoft Outlook, Word, Excel, PowerPoint and Access. Advanced knowledge of Excel preferred