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with the implementation and evaluation of learning, teaching and assessment programs for student coursework. The role will work closely with the Team Leaders, Academic Program Authorities and Course
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systems, systems security, and systems for machine learning, while playing a key role in advancing the School’s research profile, industry engagement, and educational excellence. With established strengths
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environments, while playing a key role in advancing the School’s research profile, industry engagement, and educational excellence. With established strengths in machine learning, large language models, data
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and multidisciplinary learning experiences in rural areas in accordance with the Rural Health Multidisciplinary Training (RHMT) Program parameters, Murray Darling Medical Schools Network (MDMSN) Program
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systems, intelligent sensing, advanced materials, and nanoscale device technologies. The successful candidate will develop machine learning approaches (including generative models and physics-informed
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profile, industry engagement, and educational excellence. With established strengths in software engineering, artificial intelligence, machine learning, data science, and distributed systems, UNSW offers
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Demonstrated experience in the use of a range of computer applications and the ability to quickly learn new technologies, including Microsoft Office Programs, Service Now, e recruitment and onboarding systems
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learning. For more information on our school, please visit: https://www.unsw.edu.au/engineering/our-schools/computer-science-and-engineering Skills & Experience: Lecturer (Level B) A PhD in a related
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advance knowledge and learning. For more information on our school, please visit: https://www.unsw.edu.au/engineering/our-schools/computer-science-and-engineering Skills & Experience: Lecturer (Level B) A
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to the development, evaluation or application of artificial intelligence and machine learning approaches relevant to breast cancer research and medical imaging, where appropriate collaborate with multidisciplinary