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) is seeking a talented academic to join as a Lecturer in Machine learning and Computer Vision. We are looking for a teaching and research academic with a strong expertise in applied AI and current
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"A picture is worth a thousands words"... or so the saying goes. How much information can we extract from an image of an insect on a flower? What species is the insect? What species is the flower? Where was the photograph taken? And at what time of the year? What time of the day? What was the...
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. Required knowledge Strong background in machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch
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that are constructed in a way that is inspired by what we know about self-awareness circuits in the brain and the field of self-aware computing. The project will advanced state of the art AI for NLP or vision or both
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opportunities offered by TechnologyOne, including an offer to participate in their internship program. Adrian Di Marco started TechnologyOne in 1987, as one of the first tech startups in Australia. Adrian’s
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SAE UNIVERSITY COLLEGE | North Adelaide Melbourne St, South Australia | Australia | about 3 hours ago
Computing. As our new Associate Dean you’ll bring passion, vision, and industry know-how to a school that thrives on imagination and innovation. SAE, part of the leading global education provider Navitas
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Bachelor of Vision Science undergraduate program, which can be taken as a standalone degree with the option of an honours year or lead to a two-year Master of Clinical Optometry at the postgraduate level
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analysis, contextual analysis, audio feature extraction, and machine learning models to identify and assess potentially dangerous content. Similarly, computer vision models are implemented to analyse images
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for research leadership. Strong experience in at least two of the following areas: deep learning and/or computer vision continual learning vision language models Experience in developing comprehensive benchmarks
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PhD in a relevant research field. Have a nationally or internationally recognised research program in eye and/or vision science research. Possess excellent leadership and organisational skills