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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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ADM+S invites applications for PhD scholarships from students interested in the following areas: The development and distribution of automated decision-making (ADM) systems The applications
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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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research related to management and analysis of complex data sets. Data Management research storage, indexing and querying of complex data algorithms for managing big data efficiently at scale Big Data
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print and online formats, creating and distributing communication materials, coordinating social media accounts, supporting internal and external event delivery and helping with the execution of external
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inclusive resources, services and facilities to support the information needs of RMIT's large and globally distributed student and staff population and supplies expertise for the management