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contribute to groundbreaking projects in OP-MEG and Bayesian computations. This role offers you the chance to collaborate with leading researchers, mentor students, and shape the future of cognitive
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to engage with multidisciplinary teams and external partners. Desirable attributes include experience with spatio-temporal models, machine learning, Bayesian methods, and knowledge of environmental exposure
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. Your expertise includes machine learning techniques such as Bayesian optimisation, and you’re comfortable working with experimental data, high-performance computing environments, and (ideally) thin film
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computer vision, including experience with semantic segmentation, multiple object detection, classification, or vegetation/weed identification using frameworks such as PyTorch or TensorFlow. Proven ability
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Computer Society–accredited programs in areas such as computer science, cyber security, software engineering, artificial intelligence, and data analytics. Guided by curricula from the IEEE Computer Society
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computer vision models for real-world impact. Full-time appointment on a fixed term basis for two years. Base salary range: Level C, $144,143 – $165,809 p.a. (pro-rata) plus 17% superannuation. About the
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Drive cutting-edge AI research in traffic video analytics, developing and deploying state-of-the-art computer vision models for real-world impact. Full-time appointment on a fixed term basis for two
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contribution of 17% superannuation applies. Full-time, fixed term position for 13 months. We are seeking a Postdoctoral Research Fellow (Level B) to join the School of Computer and Mathematical Sciences
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maintain confidential information; ability to set priorities, manage time, and meet deadlines in a timely manner; experience in computer usage and Microsoft Office products; and excellent written and oral
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research impact strong ability to communicate effectively, including delivering presentations with clarity and professionalism. well-developed planning, organisation, and computer literacy skills