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detection, segmentation, and multi-object tracking in challenging conditions such as occlusions, crowded scenes, and object re-identification. Proficiency in deep learning frameworks (e.g., PyTorch
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as occlusions, crowded scenes, and object re-identification. Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow) and Python ML libraries (e.g., NumPy, OpenCV, scikit-learn). Experience
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at the John Curtin School of Medical Research (JCSMR), within the ANU College of Science and Medicine. This role will lead the development of advanced deep learning frameworks—including graph neural networks
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Bentley campus Flexible working arrangements, excellent leave entitlements & more! Job Reference: 1069107 Full-time Continuing | Curtin Bentley Campus (Boorloo, Perth) Lead Transformation in Human Learning
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Job Reference: 1069107 Full-time Continuing | Curtin Bentley Campus (Boorloo, Perth) Lead Transformation in Human Learning and Innovation Curtin University is a global leader in education, research
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research track record, including high-impact publications, competitive grant success, and national/international presentations. Demonstrated deep knowledge and direct experience in proteomics techniques
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experience in machine and/or deep learning applied to geospatial data. Demonstrated experience in the use of HPC and handling of very large datasets. Experience in software development and contribution
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: Bayesian Machine Learning – Led by Dr Thang Bui, this project focuses on sequential decision-making and bridging deep learning theory and practice. Applicants with expertise in probabilistic modelling
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an advanced AI-augmented digital platform (AiCT-Med) powered by cutting edge machine learning models trained on multiple large, aged care datasets from providers across Australia. The platform is designed
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the WATOC Dirac Medal. As the successful candidate, you will contribute to the design and implementation of AI models that integrate quantum mechanical theory with deep learning, enabling rapid and