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the application of AI and machine learning to identify novel therapeutic targets and advance precision medicine approaches. For further information, please click here to view the full appointment
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Level 6) Based at our St Lucia Campus About This Opportunity The Work Integrated Learning (WIL) Advisor will coordinate the development and implementation of WIL placement activities and support the work
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in advanced signal processing techniques and good understanding of emerging machine learning methodologies used in NDE. You will work in close collaboration with project partners at the University
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engineering, and building machine learning models for tasks like classification and regression Key responsibilities will include: Research and Technical Support: Collaborate with researchers and HDR students
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at St Lucia in the Business School. Key responsibilities will include: Engineer, prototype, validate and deploy statistical, machine learning models and analytic solutions to solve challenging problems
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will include: Provide high quality, efficient administrative support to staff (e.g. exam preparation, e-learning support, course profile publication). Provide client focused, policy based administrative
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contributions towards external activities Demonstrated expert knowledge in machine learning, AI, and bio-signal processing Experience in conducting research projects, with demonstrated high-level written and oral
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-level administrative skills, including experience providing executive assistance to senior staff. You should have highly developed computer skills, particularly with the Microsoft Office suite, and an
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procurement, service product development, and customer service. High level computer literacy skills including the ability to use, or learn to use, software applications associated with analytical instruments
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. The successful candidate will play a key part in ensuring the smooth running of the farm while supporting the delivery of high-quality practical learning experiences and research outcomes. Key responsibilities