309 data-"https:"-"https:"-"https:"-"https:"-"https:"-"Keele-University" positions at Monash University
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Insects are vital components of natural and agricultural ecosystems that interact with plants in complex ways. Computer simulations can help us understand these interactions to improve crop
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person. There are various aspects to this project, including (but not limited to): (i) handling multi-modal speech and text data, and (ii) producing simultaneous translations. This project involves
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opportunities for people with disabilities. Required knowledge Required knowledge A good knowledge of human-computer interaction is required. The ability and skills to work with people with a range of
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. Applications See how to apply Total scholarship value Varies Number offered Varies See details Bachelor of Applied Data Science Advanced (Honours) Ruby I'm more flexible and reassured about my financial
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Indigenous students in any of the Faculty’s disciplinary fields. For more information, please visit www.monash.edu/medicine/indigenous-recruitment . These academics would have a healthcare background, be
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faculty before beginning your application. For more information visit our website or contact our Graduate Research Admissions team on E: mgro-apply@monash.edu or T: +61 3 99051538 Please ensure that you
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, representing a significant reduction of the cost of the MRI scan per patient. This project will develop cutting edge data processing methods for mobile MRI scanners and testing in clinical enviroment.
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status of a colony by analysing data resulting from automatic observations of individuals. This will open the path to continuous low cost monitoring the health status of bee colonies without requiring
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, computer games) and a wide variety of solution methods have been proposed. Once a plan is computed, execution proceeds under the supervision of a human operator who is free to modify and adjust the plan
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Learning. Conference on Empirical Methods in Natural Language Processing (EMNLP'20). Hua, Yuncheng; Qi, Daiqing; Zhang, Jingyao; Qi, Guilin; Li, Yuan-Fang. Less is More: Data-efficient Complex Question