288 coding-"https:" "https:" "https:" "Computer Vision Center" research jobs in Australia
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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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, computer vision, artificial intelligence, and robotics venues. Depending on the contribution and maturity of the work, relevant conferences include NeurIPS, CVPR, etc, while extended studies may be
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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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Faculty of Engineering, Architecture and Information Technology / School of Electrical Engineering and Computer Science Full-time fixed-term position for up to 12 months Base salary will be in the
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, pages 919 and 964). References : D. L. Dowe (2008a), "Foreword re C. S. Wallace", Computer Journal, Vol. 51, No. 5 (Sept. 2008) [Christopher Stewart WALLACE (1933-2004) memorial special issue [and
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, pages 919 and 964). References : D. L. Dowe (2008a), "Foreword re C. S. Wallace", Computer Journal, Vol. 51, No. 5 (Sept. 2008) [Christopher Stewart WALLACE (1933-2004) memorial special issue [and
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enter historical phenological data into the project's database; including reading and interpreting historical records such as naturalists' diaries. You will be responsible for coding data, checking for
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machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch or TensorFlow) Project funding Other Funding
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machine vision species classification, web scraping, environmental DNA, satellite imagery) and agent-based models and ecological simulations. Our recent work, funded by the Monash Data Futures
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Primary supervisor Sarvnaz Karimi Co-supervisors Wray Buntine Research area Vision and Language Large language models increasingly adapt using external feedback to alter inference-time behaviour