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interactions. Machine learning: reinforcement learning, or multi-agent systems. Signal processing: spectrum sensing, localization, or radio environment modelling. Multi-agent systems: distributed intelligence
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-preserving trustworthy distributed machine learning. In this research, the successful candidates will focus on mathematical backgrounds involved in differential privacy to devise novel scalable approaches
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disease patients using radiation therapy. The primary aim of this research is to develop real-time target tracking and/or dynamic imaging algorithms for implementation within radiotherapy and medical
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control: algorithm development for decision-making under constraints. Required Skills: Programming and simulation: strong experience in Python or MATLAB. Mathematical modelling: probability, optimization
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control: algorithm development for decision-making under constraints. Required skills: Programming and simulation: strong experience in Python or MATLAB. Mathematical modelling: probability, optimization
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expertise by developing an e-commerce website prototype with the developed algorithm embedded within the prototype, ensuring its full functionality and integration. Reports to: Project Lead Project name
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Join our multidisciplinary research team to develop and apply machine learning and bioinformatic algorithms in biomedical research. This PhD project will focus on developing machine learning
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working with multiple data sets and distributed computing tools. Experience with agile (data) development and operations (DataOps). Extensive experience of data transformation languages such as SQL and
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communication channels related to research, while coordinating the production and distribution of research promotional materials, such as brochures, posters, and digital assets. Other duties as directed by
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to support the information needs of RMIT's large and globally distributed student and staff population and supplies expertise for the management of the University’s archives and business information. To