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learning at scale. Research directions include designing algorithms and methods for adaptive and personalised feedback, modelling learning behaviours with sequence and deep learning methods, and generating
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cellular biology laboratory work, providing scientific support to an NHMRC funded project in a mouse model acute lung injury and a collaborative microbiome project in stool samples collected from patients
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-technical audiences and engage in stakeholder or end-user consultation. DESIRED CHARACTERISTICS: Demonstrated experience in models of opinion dynamics, Bayesian reasoning models, natural language processing
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Job Reference: 1005770 Your new role You will lead modelling work on the containment and eradication of a prominent pest species, Polyphagous Shothole Borer (PSHB) in Western Australia. The work
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-based algorithms (e.g., GNNs, deep reinforcement learning) design and simulate dynamic models of megaproject systems prepare and submit journal articles to high-impact publications contribute
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) design and simulate dynamic models of megaproject systems prepare and submit journal articles to high-impact publications contribute to competitive grant proposals and research impact activities
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Researcher – Dr Luke Isbel’s Lab (https://researchers.adelaide.edu.au/profile/luke.isbel ) • Focus: Epigenetic regulation of gene expression using stem cell models and functional genomics • Requirements: PhD
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applications of data science and modelling. The successful candidate will support the research of Professor Lucy Marshall, Faculty of Engineering and will collaborate with members of her cross-institutional
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Diseases, School of Medical Sciences, Faculty of Medicine and Health. You will design in vitro and microfluidic-based model systems to evaluate vascular interactions related to medical device complications
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understanding of non-stationary complex systems through theoretical analysis and numerical simulation develop efficient statistical algorithms for analyzing and inferring dynamical models from multivariate time