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in sequential decision-making approaches such as Markov Decision Processes, reinforcement learning, deep learning, or adaptive management. You have a strong track record of research publications and
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datasets. The Research Associate will: Design and implement high-performance workflows integrating GPU programming, deep learning, and large-scale data integration. Apply advanced methods such as ColabFold
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ranked in the top 1% of the world's universities. The Faculty of Health drives innovation in teaching, learning, research, and social impact. We’re seeking a Senior Lecturer to lead as Course Director for
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PRIMARY DETAIL Are you passionate about making a meaningful difference in the lives of students with diverse learning needs? Join our supportive and collaborative team at MUSEC to inspire and
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to their culture and pay our respects to their Elders past and present. View our vision towards reconciliation . Role highlights Contribute to NASA’s Deep Space Network by supporting critical ICT systems Join a
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PRIMARY DETAIL If you are a Diploma-Qualified Early Childhood Educator with a strong background working with children aged 0–5 years and a commitment to inclusive, evidence-based early learning — we
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]). This project investigates methods to enable high performing NMT in low-resource scenarios. [1] Neural Machine Translation for Bilingually Scarce Scenarios: A Deep Multi-task Learning Approach Poorya Zaremoodi
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of integrated academic healthcare at Macquarie University. The Role Macquarie University is seeking an exceptional leader with deep experience in both the university and healthcare sectors to join the leadership
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imaging; classical imaging; multiphoton imaging; the development and application of numerical methods of deep learning or multivariate analysis. Interdisciplinary experience with projects that overlap
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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