53 universal-design-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" research jobs at Monash University
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systems that act as intelligent collaborators: understanding project goals, decomposing problems, writing and testing code, and learning from feedback. 🔍 Research Objectives Design an Agentic SWE
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systems that act as intelligent collaborators: understanding project goals, decomposing problems, writing and testing code, and learning from feedback. 🔍 Research Objectives Design an Agentic SWE
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Monash Art, Design and Architecture Scholarship Sir John Monash Scholarship for Distinction This scholarship has been made available to support high achieving Art, Design and Architecture students
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particularly interested in supporting proposals that seek to extend the palette of media, design and communications beyond the visual to other senses (haptic, aural) and sensibilities. Research may turn
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-cell RNA-seq datasets; (2) cross-validating the pattern in independent datasets and (3) associating observed spatial patterns with known literature in congenital heart disease. References https
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-diversity matters, on physical aspects, on modelling aspects, and on market design! If this sounds like it may be of interest, get in touch with Markus, who acts as a facilitator across FIT and who
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Primary supervisor Helen Purchase Research area Embodied Visualisation Empirical studies in Information Visualisation research have become more commonplace in the past two to three decades. While formerly the research focus was primarily on utilising the power of novel technologies for presenting...
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: 978-0-444-51862-0}], pp901-982, 1/June/2011 L Held (2020), "A new standard for the analysis and design of replication studies", J Royal Statist Soc. (A), vol. 183, no. 2, pp431-448 K Rice, T
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: 978-0-444-51862-0}], pp901-982, 1/June/2011 L Held (2020), "A new standard for the analysis and design of replication studies", J Royal Statist Soc. (A), vol. 183, no. 2, pp431-448 K Rice, T
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-Ouellette, S., & Rudzicz, F. (2021). BENDR: using transformers and a contrastive self-supervised learning task to learn from massive amounts of EEG data. Frontiers in human neuroscience . [2] https