230 computer "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Computer Vision Center" research jobs in Australia
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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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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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-cell RNA-seq datasets; (2) cross-validating the pattern in independent datasets and (3) associating observed spatial patterns with known literature in congenital heart disease. References https
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, reputation and sustainability of the Institute, advancing discovery, innovation and societal impact in alignment with the University’s strategic vision and research ambitions. The Director will shape the
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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 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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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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Research Fellow, ARC Discovery Project Employer RMIT UNIVERSITY Location Melbourne, Australia / Hybrid Closing date 17 Sep 2026 View more categories View less categories Academic Discipline Computer
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Primary supervisor Kla Tantithamthavorn Co-supervisors Atlassian Research area Vision and Language 🎯 Research Vision The next generation of software engineering tools will move beyond autocomplete