123 network-coding-"Chung-Ang-University"-"Chung-Ang-University" positions at Monash University
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as networks or graphs in the hope of reasoning about them - but the tools that we have for understanding such network structured data (whether algorithmic analytics or visualisation tools) remain crude
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Aim/outline Graphs or networks are effective tools to representing a variety of data in different domains. In the biological domain, chemical compounds can be represented as networks, with atoms as
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Networked digital diagnostic, monitoring and patient treatment tools permeate medical practice. A plethora of telemedicine, national and other eHealth records, injury assessment, patient-specific
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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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Modern map-based systems and location-based services rely heavily on the ability to efficiently provide navigation services and the capability to search points of interests (POIs) based on their location or textual information. The aim of this project is to build a next-generation navigation...
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This project builds on research in which geo-tagged social network site images are used to determine insect and flowering plant distributions on a continent-wide scale. This work was awarded an "AI
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, implementation and maintenance of enterprise high-performance storage solutions (SAN, NAS, object storage), backup platforms, and virtualisation platforms Upkeep of data centre facility and network infrastructure
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: Deep understanding and implementation of Kubernetes networking, utilising CNI plugins, ingress controllers, and service meshes to ensure efficient and secure communication within the cluster. Applying
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of the AIATSIS Code of Ethics Why Join Us Opportunity to shape lasting impact on Indigenous advancement in one of Australia's leading Universities. Work at a strategic level alongside senior leaders to influence
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for tomagraphic imaging in tissue Neural network correction of distortions in acoustic transducers web page For further details or alternative project arrangements, please contact: alexis.bishop@monash.edu.