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sequence-function landscapes, using a combination of empirical data and ML methods (e.g. transformer models). One focus of this work will be on B-cell receptor evolution. Experience in applications of modern
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entitled “Beyond Data-Augmentation: Advancing Bayesian Inference for Stochastic Disease Transmission Models”. The overarching aim of the project is to develop the next generation of statistical tools
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to their culture and pay our respects to their Elders past and present. View our vision towards reconciliation . Role highlights Develop advanced techno‑economic and power system modelling to support community
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Japan and North America, to improve an existing model for the spread of Cyvirus cyprinidallo3 (also known as Cyprinid Herpes Virus or CyHV-3) as a biocontrol agent for common carp in Australia
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on application logic rather than underlying algorithm development), and the capability of independently driving the full "Data-AI-Deployment" process; (c) the ability to evaluate the fit between AI applications
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perception models used in robotic safety loops. Research on runtime assurance, uncertainty monitoring, and evaluation metrics for safe human-aware robot operation. A combination of education and relevant
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will be part of the ‘Accurate projections of climate recovery from a combination of historical data, simple models and AI’ Future Leaders Fellowship project, which seeks to understand how climate will
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based, multiple instance learning, large language, and fusion modeling. A grounding in cancer biology or immunology. Collaborative, self-directed, and intellectually curious. Modes of Work Positions that
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statistical methods including multilevel modelling, psychometric scale validation (EFA/CFA), structural equation modelling and causal inference approaches appropriate for complex education datasets. Advise
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and California and identify locations that are potentially vulnerable to future disturbance. A plot-level statistical model will be developed to understand drivers and identify where near-term tree