2,363 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions in Australia
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segmentation and classification; for example, segmenting tumour from the medical images, and then classify the grade of the tumour. We will use various Deep Learning techniques, such as CNN, and will experiment
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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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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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education-focused role focused on student supervision, mentorship, learning, and professional development rather than clinical output. Why this role is different No billables and low KPI pressure This role
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expertise in research methodology or willingness to learn. Well-developed computer skills. Application process Expressions of interest are invited to be submitted electronically to Professor Judith Finn via
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bookings for staff. Administer security swipe card access for the Faculty Computer Laboratory and after-hours student access to buildings. Provide assistance to other student administration, teaching and
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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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willingness to learn, and a genuine desire to contribute to the smooth and efficient running of the Faculty. Your ability to stay calm under pressure, maintain strong attention to detail and work
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University of New South Wales | Canberra, Australian Capital Territory | Australia | about 15 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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and teaching, with strengths in Experimental Psychology (e.g., perception, learning, cognition), Behavioural and Cognitive Neuroscience (e.g., animal models, neural systems, computational modelling