35 application-programming-android research jobs at University of Adelaide in Australia
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a focus on neurological disease and neuroimaging. To be successful you will need: A PhD in Computer Science, Engineering or other Machine Learning-related technical field. Programming experience in
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government and industries in South Australia, and overseeing Centre performance. The appointee will also be supported to establish and build a dynamic research program in machine learning or artificial
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, commensurate to opportunity. Demonstrated proficiency in Python, including data handling and backend development. Demonstrated experience developing applications interfacing with machine learning libraries like
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. Enjoy an outstanding career environment We offer a uniquely rewarding workplace. The size, breadth and quality of our education and research programs - including significant industry, government and
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environment We offer a uniquely rewarding workplace. The size, breadth and quality of our education and research programs - including significant industry, government and community collaboration - offers you
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, breadth and quality of our education and research programs - including significant industry, government and community collaboration - offers you vast scope and opportunity for a long, fulfilling career. It
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. Applications close: 11:55pm (South Australia time), 19th October 2025. For further information For a confidential discussion regarding this position, contact: Dr Nisha Schwarz Program Manager, Centre
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allow the team to develop lung function-based respiratory biomarkers through the application of artificial intelligence, machine learning and image processing technologies to lung ventilation data
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contribution of up to 17% superannuation may apply. The University is seeking applications for an ARC Grant Funded Researcher for a 2 year fixed term appointment. The specific topic area of this post is the
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of Agriculture, Food & Wine, focusing on smart agriculture and Ag-Tech solutions. This position will lead the development and application of advanced agricultural technologies that improve the sustainability