214 python "Computer Vision Center" "Computer Vision Center" positions at Monash University
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sustainability. #sustainability Required knowledge The applicant needs to be familiar with the principles of computer vision and machine learning. They will require computer programming skills and
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sustainability. #sustainability Required knowledge The applicant needs to be familiar with the principles of computer vision and machine learning. They will require computer programming skills and
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Primary supervisor Floyd Mueller Research area Creative Technologies The rise of technology that supports a partnership between user and computer highlights an opportunity for a new era of “human
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Primary supervisor Floyd Mueller Research area Creative Technologies The rise of technology that supports a partnership between user and computer highlights an opportunity for a new era of “human
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Primary supervisor Mohammad Goudarzi Research area Databases and Distributed Systems In EdgeVLMOpt (EVO): Optimizing Vision-Language Models for Resource-Constrained Edge Devices , we aim to develop
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knowledge Applicants should have: A good background in machine learning, deep learning, artificial intelligence, or computer vision Strong Python programming skills Experience with at least one deep
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Primary supervisor Mohammad Goudarzi Research area Databases and Distributed Systems In EdgeVLMOpt (EVO): Optimizing Vision-Language Models for Resource-Constrained Edge Devices , we aim to develop
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Primary supervisor Kim Marriott Co-supervisors Matthew Butler Leona Holloway Research area Human-Centred Computing For decades, the primary way people who are blind or have low vision (BLV) interact
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Primary supervisor Kim Marriott Co-supervisors Matthew Butler Leona Holloway Research area Human-Centred Computing For decades, the primary way people who are blind or have low vision (BLV) interact
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in conducting independent research project in deep learning, computer vision, image processing, or autonomous driving. Proficient coding skills in Python, preferably with hands-on experience on deep