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information in the spatial context of the task at hand. To achieve this the computer guidance system needs to be aware of the environment through a rich digital-twin model that is kept up-to-date in the face
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relevant fields of specialisation for this appointment are operations research, operations management, or a closely related discipline with strong computational and/or mathematical skills with expertise in
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Federated learning (FL) is an emerging machine learning paradium to enable distributed clients (e.g., mobile devices) to jointly train a machine learning model without pooling their raw data into a
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I am seeking PhD candidates interested in working on designing Learning Analytics or similar reflection interfaces that automatically highlight design elements of data visualisations and generate
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This PhD project is funded by a successful ARC Discovery Project grant: "Improving human reasoning with causal Bayesian networks: a user-centric, multimodal, interactive approach" and the successful
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written statement with your application outlining the necessity of conducting research in Japan, a coherent research plan approved by your supervisor and a detailed program for your research trip. How
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Visualisation research; there are so many interesting experimental research questions to address that researchers seldom wish to repeat work that they (or others) have already completed and published. This PhD
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meaningful program of work that includes literature reviews, field research, data analysis and scientific writing. The role also involves preparing ethics applications and presenting research findings
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home. This has allowed me to dedicate more time to my studies as well as to other things to promote my leadership skills, such as through the Access Monash mentoring program. This opportunity has only
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Although deep learning has produces state of the art results on many problems, it is a data hungry technology requiring a lot of human supervision in the form of annotated data. Potential PhD topic