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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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galaxies as an external mechanism driving galaxy evolution. The project will focus developing methods to search mm/radio interferometric data and observations of massive galaxies for companion galaxies
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language such as Python, R, C, or MATLAB Fluent in English for communication and scientific writing Merits: Knowledge and experience in: Data Science and Statistics Radio Frequency Digital Signal Processing
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Models (LLMs). Orchestrating AI/ML pipelines in 6G. Developing certification and checking processes for code inside ORAN 6G. The research will be a combination of software engineering, radio
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. This will involve tuning existing open Large Language Models (LLMs) to add knowledge about existing radio astronomy codes and the capabilities of emerging technologies, testing prototype codes generated by
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properties of Coronal Mass Ejections (CMEs) from the Sun. To achieve this, we will leverage radio observations from the Murchison Wide-field Array (MWA) data archive as well as the state-of-the-art Australian
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research priority, leverage existing Australian investments, and provide computational and statistical training. Expected outcomes include advances in astrophysical knowledge, enhanced national and
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of Radio and space science the position generally also includes teaching on Chalmers' undergraduate level or performing other duties corresponding to 20 per cent of working hours Contract terms and what we
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receivers, such as radio telescopes. While detection and tracking aspects have been explored, multi-static radar imaging of space objects has not been investigated enough, especially when looking at very high
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reliability requirements; the research will be based on ultra-wideband (UWB) radio technology Very good knowledge of the English language both written and spoken, knowledge of the German language is an