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statistical programming languages such as R and Python, and experience with Bayesian modelling and time series analysis. A track record of research outputs, including publications or presentations at national
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for mathematics across the CWTS Leiden, ARWU, USNews, and QS rankings. In Statistics, the School has research strengths in Bayesian and Monte Carlo Methods, Biostatistics and Ecology, Combinatorics, Data Science
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This PhD project is funded by a successful ARC Discovery Project grant: "Improving human reasoning with causal Bayesian networks: a user-centric, multimodal, interactive approach" and the successful
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object detection and tracking. Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow) and Python ML libraries (e.g., NumPy, OpenCV, scikit-learn). Experience with dataset preparation, training
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external communications, including developing and distributing content aligned with each Centre’s objectives and Deakin’s broader research narrative. Track progress towards strategic goals by monitoring
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Platform Lead to understand and execute the product vision, strategy, and objectives for AI systems and platforms. • Engage with stakeholders to understand the requirements of AI System, collaborating with
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committed to providing effective and efficient services in support of the Schools’ and University’s strategic objectives, with a focus on continuous improvement and best practice. The Schools Operations team
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international basis. Demonstrated experience in the utilisation, cutomisation, user support and training of recruitment systems, Applicant Tracking Systems and other relevant talent acquisition tools
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long-term strategic objectives. About the role Reporting to the Vice Chancellor, and collaborating with the University Executive, the Vice President, Engagement will provide strategic leadership and
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Lead, Industry Engagement and Research Collaboration plays a pivotal role in advancing the Faculty of Engineering’s strategy for industry engagement and research partnerships. The primary objective