2,388 machine-learning-"https:"-"https:"-"https:"-"https:"-"The-Open-University" positions in Australia
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-traditional, education-focused role centred on student supervision, service learning, and community impact — not billable targets. Why this role is different No billables and low KPI pressure This role
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further experience and advanced language competency to teach upper level Indonesian in Western Australian schools. No. of Scholarships: 2 Duration of Award: 1 year Level of study: Postgraduate Semester
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organisation and time management and attention to detail computer literacy and ability to maintain accurate records, experience with animal databases ability to communicate effectively, provide customer service
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collaborative learning environment foster meaningful connections with peers and staff, enhancing both academic and personal growth. The scholarship helps offset the costs of travel, accommodation, and living
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the School of Medicine Level B $117,684 - $139,191 + 17% Superannuation Who are we? The Faculty of Health is dedicated to being at the forefront of teaching, learning, creativity, social development, and
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University of New South Wales | Canberra, Australian Capital Territory | Australia | about 17 hours ago
university community Advise and support teaching academics on the selection and use of information resources for learning, including course readings guidance Produce and update digital teaching and learning
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services include robotic process automation (virtual robots that perform complex tasks on a computer), chatbots, dashboards and other bespoke programs leveraging AI and Machine Learning components. As a key
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success. Central to the role is the cultivation of strong, collaborative relationships across the Division of Learning and Teaching and the wider university community to support consistent, high quality
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. Demonstrated computer skills, ie. MS office suite including spreadsheets. Experience/knowledge of qualitative research methods. Experience/knowledge of basic data science database programs, statistical software
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and teaching, with strengths in Experimental Psychology (e.g., perception, learning, cognition), Behavioural and Cognitive Neuroscience (e.g., animal models, neural systems, computational modelling